AI Hardware Summit 2022

Fast, Efficient and Affordable AI

ML Practitioner? Here's Why You Should Attend
Santa Clara Marriott, CA
13-15 September, 2022

“The AI Hardware Summit is a great place where lots of people interested in AI Hardware are coming together and exchanging ideas, and together we make the technology better. There’s a synergistic effect at these summits which is really amazing and powers the entire industry.”

John L. Hennessy, Chairman, Alphabet
800+
In-Person Attendees
5 YEARS
Connecting Systems to Software
315
Unique Companies Attended in 2021
$500
Extra To Attend The Co-Located Edge AI Summit

About The Event

The AI Hardware Summit is the premier commercial event focused on systems-first machine learning.  

Our community’s goal is to reduce time-to-value in the ML lifecycle, and to unlock new possibilities for AI development. This involves a full-stack effort of efficient operationalization of AI in organizations, productionization of models, tight hw/sw co-design and best-in-class microarchitectures.

We are creating a feedback loop between those designing AI systems and those using them, to accelerate the development and adoption of AI technologies across industries.

This year, for the first time, we will be co-located with Edge AI Summit. Attendees to AI Hardware Summit can purchase a pass to Edge AI Summit for only $500 (and receive complimentary access to all presentations from the 2022 AI Systems Summit:Research) - find out more and register here! PLUS, we have exclusive group booking discounts available!

Confirmed Speakers

 

Alexis Black Bjorlin

VP, Infrastructure Hardware
Meta

Dr. Alexis Black Bjorlin is VP, Infrastructure Hardware Engineering at Meta. She also serves on the board of directors at Digital Realty and Celestial AI. Prior to Meta, Dr. Bjorlin was Senior Vice President and General Manager of Broadcom’s Optical Systems Division and previously Corporate Vice President of the Data Center Group and General Manager of the Connectivity Group at Intel. Prior to Intel, she spent eight years as President of Source Photonics, where she also served on the board of directors. She earned a B.S.

Alexis Black Bjorlin

VP, Infrastructure Hardware
Meta

Alexis Black Bjorlin

VP, Infrastructure Hardware
Meta

Dr. Alexis Black Bjorlin is VP, Infrastructure Hardware Engineering at Meta. She also serves on the board of directors at Digital Realty and Celestial AI. Prior to Meta, Dr. Bjorlin was Senior Vice President and General Manager of Broadcom’s Optical Systems Division and previously Corporate Vice President of the Data Center Group and General Manager of the Connectivity Group at Intel. Prior to Intel, she spent eight years as President of Source Photonics, where she also served on the board of directors. She earned a B.S. in Materials Science and Engineering from Massachusetts Institute of Technology and a Ph.D. in Materials Science from the University of California at Santa Barbara.

 

Mark Russinovich

CTO, Azure
Microsoft

Mark Russinovich is Chief Technology Officer of Microsoft Azure, where he oversees the technical strategy and architecture of Microsoft’s cloud computing platform. He is a widely recognized expert in distributed systems, operating system internals, and cybersecurity. He is the author of the Jeff Aiken cyberthriller novels, Zero Day, Trojan Horse, and Rogue Code, and co-author of the Microsoft Press Windows Internals books.

Mark Russinovich

CTO, Azure
Microsoft

Mark Russinovich

CTO, Azure
Microsoft

Mark Russinovich is Chief Technology Officer of Microsoft Azure, where he oversees the technical strategy and architecture of Microsoft’s cloud computing platform. He is a widely recognized expert in distributed systems, operating system internals, and cybersecurity. He is the author of the Jeff Aiken cyberthriller novels, Zero Day, Trojan Horse, and Rogue Code, and co-author of the Microsoft Press Windows Internals books. Russinovich joined Microsoft in 2006 when Microsoft acquired Winternals Software, the company he cofounded in 1996, as well as Sysinternals, where he authors and publishes dozens of popular Windows administration and diagnostic utilities. He is a featured speaker at major industry conferences, including Microsoft Ignite, Microsoft //build, RSA Conference, and more.

 

Sassine Ghazi

President & COO
Synopsys

Sassine Ghazi leads and drives strategy for all business units, sales and customer success, strategic alliances, marketing and communications at Synopsys. He joined the company in 1998 as an applications engineer. He then held a series of sales positions with increasing responsibility, culminating in leadership of worldwide strategic accounts. He was then appointed general manager for all digital and custom products, the largest business group in Synopsys.

Sassine Ghazi

President & COO
Synopsys

Sassine Ghazi

President & COO
Synopsys

Sassine Ghazi leads and drives strategy for all business units, sales and customer success, strategic alliances, marketing and communications at Synopsys. He joined the company in 1998 as an applications engineer. He then held a series of sales positions with increasing responsibility, culminating in leadership of worldwide strategic accounts. He was then appointed general manager for all digital and custom products, the largest business group in Synopsys. Under his leadership, several innovative solutions were launched in areas such as multi-die systems, AI-assisted design and silicon lifecycle management. He assumed the role of chief operating officer in August, 2020 and was appointed to the role of president in November 2021. Prior to Synopsys he was a design engineer at Intel.

 

Sassine holds a bachelor’s degree in Business Administration from Lebanese American University; a B.S.E.E from the Georgia Institute of Technology and an M.S.E.E. from the University of Tennessee.

 

 

Victor Peng

President, Adaptive and Embedded Computing Group
AMD

Victor Peng is President of the Adaptive and Embedded Computing group at AMD. He is responsible for AMD’s Adaptive SmartNIC, FPGA, Adaptive SoC, embedded CPU, and embedded APU business that serve multiple market segments including the data center, communications, automotive, industrial, A&D, healthcare, test/measure/emulation, and other embedded markets. Peng also serves on the board of KLA Corporation.

Victor Peng

President, Adaptive and Embedded Computing Group
AMD

Victor Peng

President, Adaptive and Embedded Computing Group
AMD

Victor Peng is President of the Adaptive and Embedded Computing group at AMD. He is responsible for AMD’s Adaptive SmartNIC, FPGA, Adaptive SoC, embedded CPU, and embedded APU business that serve multiple market segments including the data center, communications, automotive, industrial, A&D, healthcare, test/measure/emulation, and other embedded markets. Peng also serves on the board of KLA Corporation.

Peng rejoined AMD in 2022 after 14 years at Xilinx, most recently serving as president and CEO. Prior to joining Xilinx, Peng worked at AMD as corporate vice president of silicon engineering for the graphics products group (GPG) and was the co-leader of the central silicon engineering team supporting graphics, game console products, and CPU chipsets. Prior to that, Peng held executive and engineering leadership roles at ATI, TZero Technologies, MIPS Technologies, SGI, and Digital Equipment Corp. 

 

Joseph Sawicki

EVP, IC EDA
Siemens

Joseph Sawicki is a leading expert in IC nanometer design and manufacturing challenges. Formerly responsible for Mentor's industry-leading design-to-silicon products, including the Calibre physical verification and DFM platform and Mentor's Tessent design-for-test product line, Sawicki now oversees all business units in the Siemens EDA IC segment.

Joseph Sawicki

EVP, IC EDA
Siemens

Joseph Sawicki

EVP, IC EDA
Siemens

Joseph Sawicki is a leading expert in IC nanometer design and manufacturing challenges. Formerly responsible for Mentor's industry-leading design-to-silicon products, including the Calibre physical verification and DFM platform and Mentor's Tessent design-for-test product line, Sawicki now oversees all business units in the Siemens EDA IC segment.

Sawicki joined Mentor Graphics in 1990 and has held previous positions in applications engineering, sales, marketing, and management. He holds a BSEE from the University of Rochester, an MBA from Northeastern University's High Technology Program, and has completed the Harvard Business School Advanced Management Program.

 

 

Judy Priest

Distinguished Engineer & VP, GM
Microsoft

Judy Priest is a Distinguished Engineer in Microsoft's Cloud and AI Group. She drives innovation, integration, and operations in next generation Data Center platforms supporting Azure, AI, and MS's Enterprise software. Judy has over 25 years of experience in developing data centers systems and silicon, high speed signaling technologies and optics, circuit design, and physical architectures for compute, storage, graphics, and networking.

Judy Priest

Distinguished Engineer & VP, GM
Microsoft

Judy Priest

Distinguished Engineer & VP, GM
Microsoft

Judy Priest is a Distinguished Engineer in Microsoft's Cloud and AI Group. She drives innovation, integration, and operations in next generation Data Center platforms supporting Azure, AI, and MS's Enterprise software. Judy has over 25 years of experience in developing data centers systems and silicon, high speed signaling technologies and optics, circuit design, and physical architectures for compute, storage, graphics, and networking.

Judy has previously worked at Cisco Systems, Silicon Graphics, Hewlett-Packard, and Digital Equipment Corporation, as well as two startup ventures. She serves on the Board of Directors for Women's Audio Mission, a local SF nonprofit moving the needle for girls, women, and GNC individuals in STEM through music. Judy was awarded Business Insider's 2018 Most Powerful Female Engineers and InterCon Networking's 2020 Top 100 Leaders in Engineering.

 

 

Lip-Bu Tan

Executive Chairman
Cadence

Mr. Lip-Bu Tan is a Co-Founder, Partner, Managing Director, and Chairman of Walden International. Mr. Tan serves as Executive Chairman of Cadence Design Systems Inc., and as Chairman on the Board of SambaNova Systems, Inc. Mr. Tan also serves on the Boards of Softbank and Schneider Electric. Until late 2021, Mr Tan served as Chief Executive Officer at Cadence Design Systems Inc. since January 2009, serving as its President from January 2009 to November 2017. Lip-Bu focuses on semiconductor/components, cloud/big data, artificial intelligence and machine learning. Lip-Bu holds a B.S.

Lip-Bu Tan

Executive Chairman
Cadence

Lip-Bu Tan

Executive Chairman
Cadence

Mr. Lip-Bu Tan is a Co-Founder, Partner, Managing Director, and Chairman of Walden International. Mr. Tan serves as Executive Chairman of Cadence Design Systems Inc., and as Chairman on the Board of SambaNova Systems, Inc. Mr. Tan also serves on the Boards of Softbank and Schneider Electric. Until late 2021, Mr Tan served as Chief Executive Officer at Cadence Design Systems Inc. since January 2009, serving as its President from January 2009 to November 2017. Lip-Bu focuses on semiconductor/components, cloud/big data, artificial intelligence and machine learning. Lip-Bu holds a B.S. in Physics from Nanyang University in Singapore, a M.S. in Nuclear Engineering from Massachusetts Institute of Technology, and a M.B.A. from the University of San Francisco. 

 

Lin Qiao

Senior Director, Engineering
Meta

Lin is an engineering director leading the development of PyTorch, AI compilers, and on-device AI platforms at Facebook. She drove AI research to production innovations across hardware acceleration, enabling model exploration and model scale, building production ecosystem and platforms for on-device and privacy-preserving AI. She received a Ph.D. in computer science, started her career as a researcher in Almaden Research Lab, and later moved to the industry as an engineer.

Lin Qiao

Senior Director, Engineering
Meta

Lin Qiao

Senior Director, Engineering
Meta

Lin is an engineering director leading the development of PyTorch, AI compilers, and on-device AI platforms at Facebook. She drove AI research to production innovations across hardware acceleration, enabling model exploration and model scale, building production ecosystem and platforms for on-device and privacy-preserving AI. She received a Ph.D. in computer science, started her career as a researcher in Almaden Research Lab, and later moved to the industry as an engineer. Prior to Facebook, she worked on a broad range of distributed and data processing domains, from high-performance columnar databases, OLTP systems, streaming processing systems, data warehouse systems, and logging and metrics platforms.

 

 

Dr. Caiming Xiong

VP of AI Research and Applied AI
Salesforce

Dr. Caiming Xiong is VP of AI Research and Applied AI at Salesforce. Dr. Xiong holds a Ph.D. from the department of Computer Science and Engineering, University at Buffalo, SUNY and worked as a Postdoctoral Researcher Scholar at the University of California, Los Angeles (UCLA).

Dr. Caiming Xiong

VP of AI Research and Applied AI
Salesforce

Dr. Caiming Xiong

VP of AI Research and Applied AI
Salesforce

Dr. Caiming Xiong is VP of AI Research and Applied AI at Salesforce. Dr. Xiong holds a Ph.D. from the department of Computer Science and Engineering, University at Buffalo, SUNY and worked as a Postdoctoral Researcher Scholar at the University of California, Los Angeles (UCLA).

 

Divya Jain

Director of Adobe Sensei platform
Adobe

Divya Jain is an industry recognized product and technology leader in machine learning and AI. She has 15+ years of industry experience at various startups and Fortune 500 companies. She is currently serving as an Engineering Director for Sensei ML platform at Adobe. Before this she was a Research Director at Tyco Innovation Garage and led various deep learning initiatives in video surveillance space. She also co-founded a startup, dLoop Inc., which was acquired by Box in 2013. At Box, Divya led the team that built the first machine learning capabilities into the Box platform.

Divya Jain

Director of Adobe Sensei platform
Adobe

Divya Jain

Director of Adobe Sensei platform
Adobe

Divya Jain is an industry recognized product and technology leader in machine learning and AI. She has 15+ years of industry experience at various startups and Fortune 500 companies. She is currently serving as an Engineering Director for Sensei ML platform at Adobe. Before this she was a Research Director at Tyco Innovation Garage and led various deep learning initiatives in video surveillance space. She also co-founded a startup, dLoop Inc., which was acquired by Box in 2013. At Box, Divya led the team that built the first machine learning capabilities into the Box platform. She is very passionate about open sharing of knowledge and information and always working towards abridging technology gap for product innovation.

 

Colin Murdoch

Chief Business Officer
DeepMind

Decades of international commercial experience and deep technical expertise mean Colin is uniquely placed to ensure DeepMind’s cutting-edge research benefits as many people as possible. As Chief Business Officer of DeepMind, he oversees a wide-range of teams including Applied, which applies research breakthroughs to Google products and infrastructure used by billions of people.

Colin Murdoch

Chief Business Officer
DeepMind

Colin Murdoch

Chief Business Officer
DeepMind

Decades of international commercial experience and deep technical expertise mean Colin is uniquely placed to ensure DeepMind’s cutting-edge research benefits as many people as possible. As Chief Business Officer of DeepMind, he oversees a wide-range of teams including Applied, which applies research breakthroughs to Google products and infrastructure used by billions of people. He also helps drive the growth of DeepMind, building and leading critical functions including finance and strategy and leading external and commercial partnerships. Originally an electronics and software engineer, he has held senior positions at both start-ups and global companies such as Thomson Reuters, helping them solve their own complex, mission-critical, real-world challenges.

 

Daniel Wu

Head of AI & ML, Commercial Banking
JPMorgan Chase

Daniel Wu is a technical leader who brings more than 20 years of expertise in software engineering, AI/ML, and high-impact team development. He is the Head of Commercial Banking AI and Machine Learning at JPMorgan Chase where he drives financial service transformation through AI innovation. His diverse professional background also includes building point of care expert systems for physicians to improve quality of care, co-founding an online personal finance marketplace, and building an online real estate brokerage platform.

Daniel Wu

Head of AI & ML, Commercial Banking
JPMorgan Chase

Daniel Wu

Head of AI & ML, Commercial Banking
JPMorgan Chase

Daniel Wu is a technical leader who brings more than 20 years of expertise in software engineering, AI/ML, and high-impact team development. He is the Head of Commercial Banking AI and Machine Learning at JPMorgan Chase where he drives financial service transformation through AI innovation. His diverse professional background also includes building point of care expert systems for physicians to improve quality of care, co-founding an online personal finance marketplace, and building an online real estate brokerage platform.

Daniel is passionate about the democratization of technology and the ethical use of AI - a philosophy he shares in the computer science and AI/ML education programs he has contributed to over the years.

 

Dan McCreary

Distinguished Engineer, Graph & AI
Optum

Dan is a distinguished engineer in AI working on innovative database architectures including document and graph databases. He has a strong background in semantics, ontologies, NLP and search. He is a hands-on architect and like to build his own pilot applications using new technologies. Dan started the NoSQL Now! Conference (now called the Database Now! Conferences). He also co-authored the book Making Sense of NoSQL, one of the highest rated books on Amazon on the topic of NoSQL. Dan worked at Bell Labs as a VLSI circuit designer where he worked with Brian Kernighan (of K&R C).

Dan McCreary

Distinguished Engineer, Graph & AI
Optum

Dan McCreary

Distinguished Engineer, Graph & AI
Optum

Dan is a distinguished engineer in AI working on innovative database architectures including document and graph databases. He has a strong background in semantics, ontologies, NLP and search. He is a hands-on architect and like to build his own pilot applications using new technologies. Dan started the NoSQL Now! Conference (now called the Database Now! Conferences). He also co-authored the book Making Sense of NoSQL, one of the highest rated books on Amazon on the topic of NoSQL. Dan worked at Bell Labs as a VLSI circuit designer where he worked with Brian Kernighan (of K&R C). Dan also worked with Steve Jobs at NeXT Computer.

 

Hooman Sedghamiz

Director of AI & ML
Bayer

Hooman Sedghamiz is Director of AI & ML at Bayer. He has lead algorithm development and generated valuable insights to improve medical products ranging from implantable, wearable medical and imaging devices to bioinformatics and pharmaceutical products for a variety of multinational medical companies.

Hooman Sedghamiz

Director of AI & ML
Bayer

Hooman Sedghamiz

Director of AI & ML
Bayer

Hooman Sedghamiz is Director of AI & ML at Bayer. He has lead algorithm development and generated valuable insights to improve medical products ranging from implantable, wearable medical and imaging devices to bioinformatics and pharmaceutical products for a variety of multinational medical companies.

He has lead projects, data science teams and developed algorithms for closed loop active medical implants (e.g. Pacemakers, cochlear and retinal implants) as well as advanced computational biology to study the time evolution of cellular networks associated with cancer , depression and other illnesses.

His experience in healthcare also extends to image processing for Computer Tomography (CT), iX-Ray (Interventional X-Ray) as well as signal processing of physiological signals such as ECG, EMG, EEG and ACC.

Recently, his team has been working on cutting edge natural language processing and developed cutting edge models to address the healthcare challenges dealing with textual data.

 

Phil Brown

VP, Scaled Systems Product
Graphcore

Phil leads Graphcore’s efforts to build large scale AI/ML processing capability using Graphcore unique Intelligence Processing Units (IPUs) and IPU-Fabric and Streaming Memory technology. Previously he has held a number of different roles at Graphcore including Director of Applications, leading development of Graphcore’s flagship AL/ML models, and Director of Field Engineering, which acts as the focal point for technical engagements with our customers. Prior to joining Graphcore, Phil worked for Cray Inc.

Phil Brown

VP, Scaled Systems Product
Graphcore

Phil Brown

VP, Scaled Systems Product
Graphcore

Phil leads Graphcore’s efforts to build large scale AI/ML processing capability using Graphcore unique Intelligence Processing Units (IPUs) and IPU-Fabric and Streaming Memory technology. Previously he has held a number of different roles at Graphcore including Director of Applications, leading development of Graphcore’s flagship AL/ML models, and Director of Field Engineering, which acts as the focal point for technical engagements with our customers. Prior to joining Graphcore, Phil worked for Cray Inc. in a number of roles, including leading their engagement with the weather forecasting and climate research customers worldwide and as a technical architect. Phil holds a PhD in Computational Chemistry from the University of Bristol.

 

Selcuk Kopru

Director, Engineering & Research, Search
eBay

Selcuk Kopru is Head of ML & NLP at eBay and is an experienced AI leader with proven expertise in creating and deploying cutting edge NLP and AI technologies and systems. He is experienced in developing scalable Machine Learning solutions to solve big data problems that involve text and multimodal data. He is also skilled in Python, Java, C++, Machine Translation and Pattern Recognition. Selcuk is also a strong research professional with a Doctor of Philosophy (PhD) in NLP in Computer Science from Middle East Technical University.

Selcuk Kopru

Director, Engineering & Research, Search
eBay

Selcuk Kopru

Director, Engineering & Research, Search
eBay

Selcuk Kopru is Head of ML & NLP at eBay and is an experienced AI leader with proven expertise in creating and deploying cutting edge NLP and AI technologies and systems. He is experienced in developing scalable Machine Learning solutions to solve big data problems that involve text and multimodal data. He is also skilled in Python, Java, C++, Machine Translation and Pattern Recognition. Selcuk is also a strong research professional with a Doctor of Philosophy (PhD) in NLP in Computer Science from Middle East Technical University.

 

Cedric Bourrasset

Head, High Performance AI Business Unit
Atos

Dr. Cedric Bourrasset is AI Business Leader for High Performance Computing Business Unit at Atos. He is also AI product manager for the Atos Codex AI suite, software enabling AI workloads into HPC environments as well as integrating a computer vision solution. He joined Atos in 2016 as an expert in the HPC/AI domain.

Previously, Cedric received his Ph.D. in Electronics and computer vision from the Blaise Pascal University of Clermont-Ferrand defending the dataflow model of computation for FPGA High Level Synthesis problematic in embedded machine learning applications.

Cedric Bourrasset

Head, High Performance AI Business Unit
Atos

Cedric Bourrasset

Head, High Performance AI Business Unit
Atos

Dr. Cedric Bourrasset is AI Business Leader for High Performance Computing Business Unit at Atos. He is also AI product manager for the Atos Codex AI suite, software enabling AI workloads into HPC environments as well as integrating a computer vision solution. He joined Atos in 2016 as an expert in the HPC/AI domain.

Previously, Cedric received his Ph.D. in Electronics and computer vision from the Blaise Pascal University of Clermont-Ferrand defending the dataflow model of computation for FPGA High Level Synthesis problematic in embedded machine learning applications.

 

Kunle Olukotun

Co-Founder & Chief Technologist
SambaNova Systems

Kunle Olukotun is the Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. Olukotun is a renowned pioneer in multi-core processor design and the leader of the Stanford Hydra chip multiprocessor (CMP) research project.

Prior to SambaNova Systems, Olukotun founded Afara Websystems to develop high-throughput, low-power multi-core processors for server systems. The Afara multi-core processor, called Niagara, was acquired by Sun Microsystems and now powers Oracle’s SPARC-based servers.

Kunle Olukotun

Co-Founder & Chief Technologist
SambaNova Systems

Kunle Olukotun

Co-Founder & Chief Technologist
SambaNova Systems

Kunle Olukotun is the Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. Olukotun is a renowned pioneer in multi-core processor design and the leader of the Stanford Hydra chip multiprocessor (CMP) research project.

Prior to SambaNova Systems, Olukotun founded Afara Websystems to develop high-throughput, low-power multi-core processors for server systems. The Afara multi-core processor, called Niagara, was acquired by Sun Microsystems and now powers Oracle’s SPARC-based servers.

Olukotun is the Director of the Pervasive Parallel Lab and a member of the Data Analytics for What’s Next (DAWN) Lab, developing infrastructure for usable machine learning.

Olukotun is an ACM Fellow and IEEE Fellow for contributions to multiprocessors on a chip and multi-threaded processor design. Olukotun recently won the prestigious IEEE Computer Society’s Harry H. Goode Memorial Award and was also elected to the National Academy of Engineering—one of the highest professional distinctions accorded to an engineer.

Kunle received his Ph.D. in Computer Engineering from The University of Michigan.

 

Xiaoyong Liu

Director, AI Platform
Alibaba

Xiaoyong Liu

Director, AI Platform
Alibaba

Xiaoyong Liu

Director, AI Platform
Alibaba
 

Gordon Wilson

Co-Founder & CEO
Rain Neuromorphics

Gordon Wilson

Co-Founder & CEO
Rain Neuromorphics

Gordon Wilson

Co-Founder & CEO
Rain Neuromorphics
 

Yvonne Lutsch

Investment Principal
Bosch Ventures

Yvonne is an Investment Principal at Robert Bosch Venture Capital’s (RBVC) affiliate office located in Sunnyvale, responsible for sourcing, evaluating and executing investments for RBVC in North America in deep tech fields like Machine Learning/AI, Edge Computing, Industrial IoT, Mobility, Quantum Computing, or Sensors. She is an investor / non-executive board member at RBVC’s portfolio companies InSyte Systems, Syntiant, Zapata Computing, and UltraSense Systems.

Yvonne Lutsch

Investment Principal
Bosch Ventures

Yvonne Lutsch

Investment Principal
Bosch Ventures

Yvonne is an Investment Principal at Robert Bosch Venture Capital’s (RBVC) affiliate office located in Sunnyvale, responsible for sourcing, evaluating and executing investments for RBVC in North America in deep tech fields like Machine Learning/AI, Edge Computing, Industrial IoT, Mobility, Quantum Computing, or Sensors. She is an investor / non-executive board member at RBVC’s portfolio companies InSyte Systems, Syntiant, Zapata Computing, and UltraSense Systems. Prior to this position Yvonne was Director of Technology Scouting and Business Development for Bosch Automotive Electronics building up an Innovation Center for the division in North America. Prior to that, Yvonne held different leadership positions in Quality Management, Operations and Engineering in Automotive and Consumer Electronics with Bosch in Germany. Yvonne received a diploma in Experimental Physics from University of Siegen, Germany, and holds a PhD in Applied Physics from University of Tuebingen, Germany.

 

Andrew Feldman

Co-Founder & CEO
Cerebras Systems

Andrew is a co-founder and CEO of Cerebras Systems, a venture-backed stealth-mode startup located in Los Altos, California. He leads a team of phenomenal people with a track record of building products that profoundly changed the largest markets in tech.
Prior to co-founding Cerebras Systems, he was co-founder and CEO of SeaMicro. SeaMicro (acquired by AMD for $355 million) was the pioneer in low power server technology. SeaMicro changed the trajectory of the server industry by inventing the high density, lower power, microserver category.

Andrew Feldman

Co-Founder & CEO
Cerebras Systems

Andrew Feldman

Co-Founder & CEO
Cerebras Systems

Andrew is a co-founder and CEO of Cerebras Systems, a venture-backed stealth-mode startup located in Los Altos, California. He leads a team of phenomenal people with a track record of building products that profoundly changed the largest markets in tech.
Prior to co-founding Cerebras Systems, he was co-founder and CEO of SeaMicro. SeaMicro (acquired by AMD for $355 million) was the pioneer in low power server technology. SeaMicro changed the trajectory of the server industry by inventing the high density, lower power, microserver category.
Prior to co-founding SeaMicro, he was Vice President of Marketing and Product Management at Force10 (acquired by Dell for $800 Million) Networks, and Vice President of Corporate Marketing and Corporate Development for Riverstone Networks (NASDAQ: RSTN) from inception through IPO.
Andrew holds a B.A. and MBA from Stanford University.

 

Gayathri Radhakrishnan

Senior Director, Venture Capital - AI Fund
Micron

Gayathri Radhakrishnan is currently part of the investment team at Micron Ventures, investing from $100M AI fund. She invests in startups that are leveraging AI/ML to solve critical problems in the areas of Manufacturing, Healthcare, Automotive and AgTech. Prior to that, she brings 20 years of multi-disciplinary experience across product management, product marketing, corporate strategy, M&A and venture investments in large Fortune 500 companies such as Dell and Corning and in startups.

Gayathri Radhakrishnan

Senior Director, Venture Capital - AI Fund
Micron

Gayathri Radhakrishnan

Senior Director, Venture Capital - AI Fund
Micron

Gayathri Radhakrishnan is currently part of the investment team at Micron Ventures, investing from $100M AI fund. She invests in startups that are leveraging AI/ML to solve critical problems in the areas of Manufacturing, Healthcare, Automotive and AgTech. Prior to that, she brings 20 years of multi-disciplinary experience across product management, product marketing, corporate strategy, M&A and venture investments in large Fortune 500 companies such as Dell and Corning and in startups. She has also worked as an early stage investor at Earlybird Venture Capital, a premier European venture capital fund based in Germany. She has a Masters in EE from The Ohio State University and MBA from INSEAD in France. She is also a Kauffman Fellow.

 

Jeff Boudier

Product Director
Hugging Face

Jeff Boudier is a product director at Hugging Face, creator of Transformers, the leading open-source NLP library. Previously Jeff was a co-founder of Stupeflix, acquired by GoPro, where he served as director of Product Management, Product Marketing, Business Development and Corporate Development.

Jeff Boudier

Product Director
Hugging Face

Jeff Boudier

Product Director
Hugging Face

Jeff Boudier is a product director at Hugging Face, creator of Transformers, the leading open-source NLP library. Previously Jeff was a co-founder of Stupeflix, acquired by GoPro, where he served as director of Product Management, Product Marketing, Business Development and Corporate Development.

 

Cade Metz

Technology Correspondent
New York Times

Cade Metz is a reporter with The New York Times, covering artificial intelligence, driverless cars, robotics, virtual reality, and other emerging areas. Genius Makers is his first book. Previously, he was a senior staff writer with Wired magazine and the U.S. editor of The Register, one of Britain’s leading science and technology news sites.

A native of North Carolina and a graduate of Duke University, Metz, 48, works in The New York Times’ San Francisco bureau and lives across the bay with his wife Taylor and two daughters.

Cade Metz

Technology Correspondent
New York Times

Cade Metz

Technology Correspondent
New York Times

Cade Metz is a reporter with The New York Times, covering artificial intelligence, driverless cars, robotics, virtual reality, and other emerging areas. Genius Makers is his first book. Previously, he was a senior staff writer with Wired magazine and the U.S. editor of The Register, one of Britain’s leading science and technology news sites.

A native of North Carolina and a graduate of Duke University, Metz, 48, works in The New York Times’ San Francisco bureau and lives across the bay with his wife Taylor and two daughters.

 

Carole-Jean Wu

Research Scientist
Meta

Carole-Jean Wu is a Research Scientist at Facebook AI Research. Her research focuses on designing systems for at-scale execution of machine learning, such as personalized recommender systems and for mobile deployment. More generally, her research interests are in computer architecture with particular focus on energy- and memory-efficient systems. Carole-Jean chairs MLPerf Recommendation Benchmark Advisory Board and co-chairs MLPerf Inference. She received her M.A. and Ph.D. from Princeton and B.Sc. from Cornell.

Carole-Jean Wu

Research Scientist
Meta

Carole-Jean Wu

Research Scientist
Meta

Carole-Jean Wu is a Research Scientist at Facebook AI Research. Her research focuses on designing systems for at-scale execution of machine learning, such as personalized recommender systems and for mobile deployment. More generally, her research interests are in computer architecture with particular focus on energy- and memory-efficient systems. Carole-Jean chairs MLPerf Recommendation Benchmark Advisory Board and co-chairs MLPerf Inference. She received her M.A. and Ph.D. from Princeton and B.Sc. from Cornell. She holds tenure from ASU and is the recipient of the NSF CAREER Award, Facebook AI Infrastructure Mentorship Award, the IEEE Young Engineer of the Year Award, the Science Foundation Arizona Bisgrove Early Career Scholarship, and the Intel PhD Fellowship, among a number of Best Paper awards.

 

Steven Woo

Fellow and Distinguished Inventor
Rambus


I was drawn to Rambus to focus on cutting edge computing technologies. Throughout my 15+ year career, I’ve helped invent, create and develop means of driving and extending performance in both hardware and software solutions. At Rambus, we are solving challenges that are completely new to the industry and occur as a response to deployments that are highly sophisticated and advanced.

Steven Woo

Fellow and Distinguished Inventor
Rambus

Steven Woo

Fellow and Distinguished Inventor
Rambus


I was drawn to Rambus to focus on cutting edge computing technologies. Throughout my 15+ year career, I’ve helped invent, create and develop means of driving and extending performance in both hardware and software solutions. At Rambus, we are solving challenges that are completely new to the industry and occur as a response to deployments that are highly sophisticated and advanced.

As an inventor, I find myself approaching a challenge like a room filled with 100,000 pieces of a puzzle where it is my job to figure out how they all go together – without knowing what it is supposed to look like in the end. For me, the job of finishing the puzzle is as enjoyable as the actual process of coming up with a new, innovative solution.

For example, RDRAM®, our first mainstream memory architecture, implemented in hundreds of millions of consumer, computing and networking products from leading electronics companies including Cisco, Dell, Hitachi, HP, Intel, etc. We did a lot of novel things that required inventiveness – we pushed the envelope and created state of the art performance without making actual changes to the infrastructure.

I’m excited about the new opportunities as computing is becoming more and more pervasive in our everyday lives. With a world full of data, my job and my fellow inventors’ job will be to stay curious, maintain an inquisitive approach and create solutions that are technologically superior and that seamlessly intertwine with our daily lives.

After an inspiring work day at Rambus, I enjoy spending time with my family, being outdoors, swimming, and reading.

Education

  • Ph.D., Electrical Engineering, Stanford University
  • M.S. Electrical Engineering, Stanford University
  • Master of Engineering, Harvey Mudd College
  • B.S. Engineering, Harvey Mudd College
 

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

Dr. Sakyasingha Dasgupta is the founder and CEO of Edgecortix, Inc. He is an AI and machine learning technologist, entrepreneur and engineer with real-world experience in taking cutting edge research from ideation stage to scalable products. Having worked at global companies like Microsoft, IBM Research and national research labs like RIKEN and Max Planck Institute, in his more recent roles, he has helped establish and lead technology teams at lean startups in Japan and Singapore, in robotics & automation and Fintech sectors.

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

Dr. Sakyasingha Dasgupta is the founder and CEO of Edgecortix, Inc. He is an AI and machine learning technologist, entrepreneur and engineer with real-world experience in taking cutting edge research from ideation stage to scalable products. Having worked at global companies like Microsoft, IBM Research and national research labs like RIKEN and Max Planck Institute, in his more recent roles, he has helped establish and lead technology teams at lean startups in Japan and Singapore, in robotics & automation and Fintech sectors.

After spending more than a decade in research and development in diverse areas like, brain inspired computing, robotics, computer vision, hardware acceleration for AI, wearable devices, internet of things, machine learning in finance and healthcare, Sakya founded EdgeCortix, a deep-tech startup automating machine learning driven AI hardware & software co-design for an intelligent distributed edge ecosystem.

Sakyasingha recently took part in a webinar titled "Software, The Elephant in the Room for Edge AI Hardware Acceleration" - register for free to watch on-demand here

 

Morteza Noshad

Senior ML/NLP Scientist
Vida Health

Morteza Noshad

Senior ML/NLP Scientist
Vida Health

Morteza Noshad

Senior ML/NLP Scientist
Vida Health
 

Karl Freund

Founder & Principal Analyst
Cambrian AI Research

Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.

 

Karl Freund

Founder & Principal Analyst
Cambrian AI Research

Karl Freund

Founder & Principal Analyst
Cambrian AI Research

Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.

 

Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.

Accomplishments during his career include:

  • Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
  • Created an industry-wide thought leadership position for Calxeda in the ARM Server market
  • Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
  • Built the IBM Power Server brand from 14% market share to over 50% share
  • Integrated the Tivoli brand into the IBM company’s branding and marketing organization
  • Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition

 

Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).

 

 

Harshit Khaitan

Director, AI Accelerators
Meta

Harshit Khaitan is the Director of AI Accelerator at Meta where he leads building AI Accelerators for Reality labs products. Prior to Meta, he was technical lead and co-founder for the Edge Machine learning accelerators at Google, responsible for MLA in Google Pixel 4 (Neural Core) and Pixel 6 (Google Tensor SoC). He has also held individual and technical leadership positions at Google’s first Cloud TPU, Nvidia Tegra SoCs and Nvidia GPUs. He has 10+ US and international patents in On-device AI acceleration.

Harshit Khaitan

Director, AI Accelerators
Meta

Harshit Khaitan

Director, AI Accelerators
Meta

Harshit Khaitan is the Director of AI Accelerator at Meta where he leads building AI Accelerators for Reality labs products. Prior to Meta, he was technical lead and co-founder for the Edge Machine learning accelerators at Google, responsible for MLA in Google Pixel 4 (Neural Core) and Pixel 6 (Google Tensor SoC). He has also held individual and technical leadership positions at Google’s first Cloud TPU, Nvidia Tegra SoCs and Nvidia GPUs. He has 10+ US and international patents in On-device AI acceleration. He has a Master’s degree in Computer Engineering from North Carolina State University and a Bachelor’s degree in Electrical Engineering from Manipal Institute of Technology, India.

 

Weifeng Zhang

Chief Scientist, Heterogeneous Computing
Alibaba

Weifeng Zhang is the Chief Scientist of Heterogeneous Computing at Alibaba Cloud Infrastructure, responsible for performance optimization of large scale distributed applications at the data centers. Weifeng also leads the effort to build the acceleration platform for various ML workloads via heterogeneous resource pooling based on the compiler technology. Prior to joining Alibaba, Weifeng was a Director of Engineering at Qualcomm Inc, focusing on GPU compiler and performance optimizations. Weifeng received his B.Sc.

Weifeng Zhang

Chief Scientist, Heterogeneous Computing
Alibaba

Weifeng Zhang

Chief Scientist, Heterogeneous Computing
Alibaba

Weifeng Zhang is the Chief Scientist of Heterogeneous Computing at Alibaba Cloud Infrastructure, responsible for performance optimization of large scale distributed applications at the data centers. Weifeng also leads the effort to build the acceleration platform for various ML workloads via heterogeneous resource pooling based on the compiler technology. Prior to joining Alibaba, Weifeng was a Director of Engineering at Qualcomm Inc, focusing on GPU compiler and performance optimizations. Weifeng received his B.Sc. from Wuhan University, China and PhD in Computer Science from University of California, San Diego.

 

Marshall Choy

SVP, Product
SambaNova Systems

Marshall Choy is Senior Vice President of Product at SambaNova Systems and is responsible for product management and go-to-market operations.  Marshall has extensive experience leading global organizations to bring breakthrough products to market, establish new market presences, and grow new and existing lines of business.  Marshall was previously Vice President of Product Management at Oracle until 2018.  He was responsible for the portfolio and strategy for Oracle Systems products and solutions.  He led teams that delivered comprehensive end-to-end hardware and software solutions and prod

Marshall Choy

SVP, Product
SambaNova Systems

Marshall Choy

SVP, Product
SambaNova Systems

Marshall Choy is Senior Vice President of Product at SambaNova Systems and is responsible for product management and go-to-market operations.  Marshall has extensive experience leading global organizations to bring breakthrough products to market, establish new market presences, and grow new and existing lines of business.  Marshall was previously Vice President of Product Management at Oracle until 2018.  He was responsible for the portfolio and strategy for Oracle Systems products and solutions.  He led teams that delivered comprehensive end-to-end hardware and software solutions and product management operations.  Prior to joining Oracle in 2010 when it acquired Sun Microsystems, he served as Director of Engineered Solutions at Sun.  During his 11 years there, Marshall held various positions in development, information technology, and marketing. 

 

Supriya Gupta

GM, Recommendations
Credit Karma

As Credit Karma’s head of Recommendations, Supriya is charged with personalizing the Credit Karma app experience for the company’s more than 120 million members. When she joined the team more than three years ago, Supriya oversaw the transformation of the company’s recommendations engine into a dynamic and personalized deep-learning based system that leverages data and machine learning to deliver tailored recommendations and offers to our members.

Supriya Gupta

GM, Recommendations
Credit Karma

Supriya Gupta

GM, Recommendations
Credit Karma

As Credit Karma’s head of Recommendations, Supriya is charged with personalizing the Credit Karma app experience for the company’s more than 120 million members. When she joined the team more than three years ago, Supriya oversaw the transformation of the company’s recommendations engine into a dynamic and personalized deep-learning based system that leverages data and machine learning to deliver tailored recommendations and offers to our members. This means members are served financial products, tools and recommendations at the right time, and that best adhere to their financial goals and ambitions. Under Supriya’s leadership, Credit Karma’s recommendations system has significantly grown and transformed over the years, and her team is doing more than 35 billion model predictions each day. Today, her business unit partners with nearly every team at Credit Karma and drives a significant portion of revenue for the business. Prior to joining Credit Karma, Supriya worked in product at Facebook, where she led product strategy and development for a number of ads products. Supriya holds a B.S. and M.S. in Electrical Engineering from the University of Illinois, and a M.B.A. from The Wharton School of the University of Pennsylvania.

 

 

 

Vishu Ram

VP of Data Science and Engineering
Credit Karma

As VP of Data Science and Engineering at Credit Karma, Vishnu has been instrumental in building and scaling Credit Karma’s machine learning infrastructure, powering personalized recommendations at scale, in pursuit of helping its 120 million members make financial progress. Having been with Credit Karma for nearly eight years, Vishnu has led development strategy and implementation of the company’s deep-learning based system comprised of an internally built machine learning platform that helps the Credit Karma transform and manage data at scale.

Vishu Ram

VP of Data Science and Engineering
Credit Karma

Vishu Ram

VP of Data Science and Engineering
Credit Karma

As VP of Data Science and Engineering at Credit Karma, Vishnu has been instrumental in building and scaling Credit Karma’s machine learning infrastructure, powering personalized recommendations at scale, in pursuit of helping its 120 million members make financial progress. Having been with Credit Karma for nearly eight years, Vishnu has led development strategy and implementation of the company’s deep-learning based system comprised of an internally built machine learning platform that helps the Credit Karma transform and manage data at scale. His team runs 35 billion model predictions a day and is tasked with building sophisticated models to boost platform innovation in order to deliver an optimized product experience for Credit Karma’s 120 million members. Prior to joining Credit Karma, Vishnu held CTO roles at Nykaa and Games24x7.

 

 

Stelios Diamantidis

Senior Director & Head of Autonomous Design Solutions
Synopsys

Stelios heads Synopsys' AI Solutions team in the Office of the President, where he researches and applies innovative machine-learning technology to address systemic complexity in the design and manufacturing of integrated computational systems. In 2020, Stelios launched DSO.ai™, the world’s first autonomous AI application for chip design.

Stelios Diamantidis

Senior Director & Head of Autonomous Design Solutions
Synopsys

Stelios Diamantidis

Senior Director & Head of Autonomous Design Solutions
Synopsys

Stelios heads Synopsys' AI Solutions team in the Office of the President, where he researches and applies innovative machine-learning technology to address systemic complexity in the design and manufacturing of integrated computational systems. In 2020, Stelios launched DSO.ai™, the world’s first autonomous AI application for chip design. He has more than 20 years of experience in chip design and EDA software and has founded two companies in this space. Stelios holds an M.S. Electrical Engineering from Stanford University, California.

 

 

Luis Ceze

Co-founder and CEO
OctoML

Luis Ceze is Co-founder and CEO at OctoML, Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington, and Venture Partner at Madrona Venture Group. His research focuses on the intersection between computer architecture, programming languages, machine learning and biology. His current focus is on approximate computing for efficient machine learning andDNA-based data storage. He co-directs the Molecular Information Systems Lab (MISL), the Systems and Architectures for Machine Learning lab (SAMPL) and the Sampa Lab for HW/SW co-design.

Luis Ceze

Co-founder and CEO
OctoML

Luis Ceze

Co-founder and CEO
OctoML

Luis Ceze is Co-founder and CEO at OctoML, Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington, and Venture Partner at Madrona Venture Group. His research focuses on the intersection between computer architecture, programming languages, machine learning and biology. His current focus is on approximate computing for efficient machine learning andDNA-based data storage. He co-directs the Molecular Information Systems Lab (MISL), the Systems and Architectures for Machine Learning lab (SAMPL) and the Sampa Lab for HW/SW co-design. He is a recipient of an NSF CAREER Award, a Sloan Research Fellowship, a Microsoft Research Faculty Fellowship, the IEEE TCCA young Computer Architect Award and UIUC Distinguished Alumni Award.

 

Kim Hazelwood

Director, Engineering
Meta

Kim Hazelwood is an engineering leader whose expertise lies at the intersection of scalable computer systems and applied machine learning. Her roles at Meta have included multiple engineering organizational leadership roles across Infrastructure and Research. Prior to Facebook, Kim held positions including Director of Research at Yahoo Labs, Software Engineer in the datacenter division of Google, Research Scientist at Intel, and tenured Associate Professor of Computer Science at the University of Virginia.

Kim Hazelwood

Director, Engineering
Meta

Kim Hazelwood

Director, Engineering
Meta

Kim Hazelwood is an engineering leader whose expertise lies at the intersection of scalable computer systems and applied machine learning. Her roles at Meta have included multiple engineering organizational leadership roles across Infrastructure and Research. Prior to Facebook, Kim held positions including Director of Research at Yahoo Labs, Software Engineer in the datacenter division of Google, Research Scientist at Intel, and tenured Associate Professor of Computer Science at the University of Virginia. Kim holds a PhD in Computer Science from Harvard University and has authored over 50 publications and one book. She is a recipient of the MIT "Top 35 Innovators under 35"​ award, the ACM SIGPLAN "Test of Time" Award, the Anita Borg Early Career Award, and an NSF Career Award. She currently serves on the Board of Directors for the Computing Research Association. 

 

John Min

Director of AE
Andes Technology

John Min is the Director of Field Applications Engineering for North America at Andes.  John has been working for processor companies in the Silicon Valley for past 30 years with companies including at Hewlett Packard, LG, ARC, MIPS and SiFive.  He brings wealth of information on Architecture  of processors, IP and high performance processing.  John specializes in balancing the Power, Area and Performance to yield optimized SoC.  John is a graduate of University of Southern California with degrees in Electrical Engineering and Biomedical Engineering.

John Min

Director of AE
Andes Technology

John Min

Director of AE
Andes Technology

John Min is the Director of Field Applications Engineering for North America at Andes.  John has been working for processor companies in the Silicon Valley for past 30 years with companies including at Hewlett Packard, LG, ARC, MIPS and SiFive.  He brings wealth of information on Architecture  of processors, IP and high performance processing.  John specializes in balancing the Power, Area and Performance to yield optimized SoC.  John is a graduate of University of Southern California with degrees in Electrical Engineering and Biomedical Engineering.

 

Carlos Guestrin

Professor, Computer Science
Stanford

Carlos Guestrin is a Professor in the Computer Science Department at Stanford University. His previous positions include the Amazon Professor of Machine Learning at the Computer Science & Engineering Department of the University of Washington, the Finmeccanica Associate Professor at Carnegie Mellon University, and the Senior Director of Machine Learning and AI at Apple, after the acquisition of Turi, Inc. (formerly GraphLab and Dato) — Carlos co-founded Turi, which developed a platform for developers and data scientist to build and deploy intelligent applications.

Carlos Guestrin

Professor, Computer Science
Stanford

Carlos Guestrin

Professor, Computer Science
Stanford

Carlos Guestrin is a Professor in the Computer Science Department at Stanford University. His previous positions include the Amazon Professor of Machine Learning at the Computer Science & Engineering Department of the University of Washington, the Finmeccanica Associate Professor at Carnegie Mellon University, and the Senior Director of Machine Learning and AI at Apple, after the acquisition of Turi, Inc. (formerly GraphLab and Dato) — Carlos co-founded Turi, which developed a platform for developers and data scientist to build and deploy intelligent applications. He is a technical advisor for OctoML.ai. His team also released a number of popular open-source projects, including XGBoost, LIME, Apache TVM, MXNet, Turi Create, GraphLab/PowerGraph, SFrame, and GraphChi. Carlos received the IJCAI Computers and Thought Award and the Presidential Early Career Award for Scientists and Engineers (PECASE). He is also a recipient of the ONR Young Investigator Award, NSF Career Award, Alfred P. Sloan Fellowship, and IBM Faculty Fellowship, and was named one of the 2008 ‘Brilliant 10’ by Popular Science Magazine. Carlos’ work received awards at a number of conferences and journals, including ACL, AISTATS, ICML, IPSN, JAIR, JWRPM, KDD, NeurIPS, UAI, and VLDB. He is a former member of the Information Sciences and Technology (ISAT) advisory group for DARPA.

 

Ravi Narayanaswami

Principal MLA Architect
Cruise

Ravi Narayanaswami

Principal MLA Architect
Cruise

Ravi Narayanaswami

Principal MLA Architect
Cruise
 

Girish Venkataramani

Senior Director, ML Accelerators
Cruise

Girish Venkataramani

Senior Director, ML Accelerators
Cruise

Girish Venkataramani

Senior Director, ML Accelerators
Cruise
 

Moshe Tanach

Co-Founder & CEO
NeuReality

Moshe Tanach

Co-Founder & CEO
NeuReality

Moshe Tanach

Co-Founder & CEO
NeuReality
 

Patrick Roos

Chief Data Scientist, zData
Atos

Patrick Roos is Chief Data Scientist for Atos zData. Patrick brings nearly two decades of industry and research experience in Data Science and AI, with most of this time spent in the services industry synergizing AI/ML efforts with business needs. His educational background combined with his experience in delivering solutions for a diverse range of start-ups to Fortune 500 companies provide him with the technical, scientific, and business knowledge to successfully leverage analytics technologies to provide business value.

Patrick Roos

Chief Data Scientist, zData
Atos

Patrick Roos

Chief Data Scientist, zData
Atos

Patrick Roos is Chief Data Scientist for Atos zData. Patrick brings nearly two decades of industry and research experience in Data Science and AI, with most of this time spent in the services industry synergizing AI/ML efforts with business needs. His educational background combined with his experience in delivering solutions for a diverse range of start-ups to Fortune 500 companies provide him with the technical, scientific, and business knowledge to successfully leverage analytics technologies to provide business value. As a proven team leader with a pragmatic but thoughtful approach to team management and problem solving, he has led the ideation, scoping, design, and execution of solutions spanning a vast great variety of application domains. Patrick received his PhD and MS in Computer Science in the Artificial Intelligence group at the University of Maryland, College Park, and his BS in Data Science from the College of Charleston.

 

Uzi Baruch

CSO
Proteantecs

Uzi brings nearly twenty years of experience in managing R&D teams and high scale projects at leading, global hi-tech companies. Prior to joining proteanTecs, he held executive roles at Optimal+, first as VP of R&D, where he had been instrumental in driving the company’s big data offering, enabling customers to innovate manufacturing through a data-centric approach.

Uzi Baruch

CSO
Proteantecs

Uzi Baruch

CSO
Proteantecs

Uzi brings nearly twenty years of experience in managing R&D teams and high scale projects at leading, global hi-tech companies. Prior to joining proteanTecs, he held executive roles at Optimal+, first as VP of R&D, where he had been instrumental in driving the company’s big data offering, enabling customers to innovate manufacturing through a data-centric approach. Beginning of 2019, Uzi assumed the lead of Optimal’s new growth business, and led the sales and delivery groups of Optimal+ Automotive and Electronics business unit until the acquisition of the company by National Instruments. Before joining Optimal+, Uzi served as VP of R&D in the Enterprise Group at NICE.

 

Dr. Charles Fan

CEO and Co-Founder
MemVerge

Charles Fan is CEO and co-founder of MemVerge. Prior to MemVerge, Charles was the CTO of Cheetah Mobile leading its global technology teams, and an SVP/GM at VMware, founding the storage business unit that developed the Virtual SAN product. Charles also worked at EMC and was the founder of the EMC China R&D Center. Charles joined EMC via the acquisition of Rainfinity, where he was a co-founder and CTO. Charles received his Ph.D. and M.S. in Electrical Engineering from the California Institute of Technology, and his B.E. in Electrical Engineering from the Cooper Union.

Dr. Charles Fan

CEO and Co-Founder
MemVerge

Dr. Charles Fan

CEO and Co-Founder
MemVerge

Charles Fan is CEO and co-founder of MemVerge. Prior to MemVerge, Charles was the CTO of Cheetah Mobile leading its global technology teams, and an SVP/GM at VMware, founding the storage business unit that developed the Virtual SAN product. Charles also worked at EMC and was the founder of the EMC China R&D Center. Charles joined EMC via the acquisition of Rainfinity, where he was a co-founder and CTO. Charles received his Ph.D. and M.S. in Electrical Engineering from the California Institute of Technology, and his B.E. in Electrical Engineering from the Cooper Union.

 

Diana Marculescu

Professor & Department Chair, Electrical and Computer Engineering
University of Texas

Diana Marculescu is Department Chair, Cockrell Family Chair for Engineering Leadership #5, and Professor, Motorola Regents Chair in Electrical and Computer Engineering #2, at the University of Texas at Austin.

Prior to joining UT Austin in December 2019, she was the David Edward Schramm Professor of Electrical and Computer Engineering, the Founding Director of the College of Engineering Center for Faculty Success (2015-2019) and has served as Associate Department Head for Academic Affairs in Electrical and Computer Engineering (2014-2018), all at Carnegie Mellon University.

Diana Marculescu

Professor & Department Chair, Electrical and Computer Engineering
University of Texas

Diana Marculescu

Professor & Department Chair, Electrical and Computer Engineering
University of Texas

Diana Marculescu is Department Chair, Cockrell Family Chair for Engineering Leadership #5, and Professor, Motorola Regents Chair in Electrical and Computer Engineering #2, at the University of Texas at Austin.

Prior to joining UT Austin in December 2019, she was the David Edward Schramm Professor of Electrical and Computer Engineering, the Founding Director of the College of Engineering Center for Faculty Success (2015-2019) and has served as Associate Department Head for Academic Affairs in Electrical and Computer Engineering (2014-2018), all at Carnegie Mellon University.

She received the Dipl.Ing. degree in computer science from the Polytechnic University of Bucharest, Bucharest, Romania (1991), and the Ph.D. degree in computer engineering from the University of Southern California, Los Angeles, CA (1998). Her research interests include energy- and reliability-aware computing, hardware aware machine learning, and computing for sustainability and natural science applications.

Diana was a recipient of the National Science Foundation Faculty Career Award (2000-2004), the ACM SIGDA Technical Leadership Award (2003), the Carnegie Institute of Technology George Tallman Ladd Research Award (2004), and several best paper awards. She was an IEEE Circuits and Systems Society Distinguished Lecturer (2004-2005) and the Chair of the Association for Computing Machinery (ACM) Special Interest Group on Design Automation (2005-2009). Diana chaired several conferences and symposia in her area and is currently an Associate Editor for IEEE Transactions on Computers. She was selected as an ELATE Fellow (2013-2014), and is the recipient of an Australian Research Council Future Fellowship (2013-2017), the Marie R. Pistilli Women in EDA Achievement Award (2014), and the Barbara Lazarus Award from Carnegie Mellon University (2018). Diana is a Fellow of ACM and IEEE.

 

Zaid Kahn

GM, Cloud AI & Advanced Systems Engineering
Microsoft

Zaid is currently GM in Cloud Hardware Infrastructure Engineering where he leads a team focusing on advanced architecture and engineering efforts for AI. He is passionate about building balanced teams of artists and soldiers that solve incredibly difficult problems at scale.

Zaid Kahn

GM, Cloud AI & Advanced Systems Engineering
Microsoft

Zaid Kahn

GM, Cloud AI & Advanced Systems Engineering
Microsoft

Zaid is currently GM in Cloud Hardware Infrastructure Engineering where he leads a team focusing on advanced architecture and engineering efforts for AI. He is passionate about building balanced teams of artists and soldiers that solve incredibly difficult problems at scale.

Prior to Microsoft Zaid was head of infrastructure engineering at LinkedIn responsible for all aspects of engineering for Datacenters, Compute, Networking, Storage and Hardware. He also lead several software development teams spanning from BMC, network operating systems, server and network fleet automation to SDN efforts inside the datacenter and global backbone including edge. He introduced the concept of disaggregation inside LinkedIn and pioneered JDM with multiple vendors through key initiatives like OpenSwitch, Open19 essentially controlling destiny for hardware development at LinkedIn. During his 9 year tenure at LinkedIn his team scaled network and systems 150X, members from 50M to 675M, and hiring someone every 7 seconds on the LinkedIn Platform.

Prior to LinkedIn Zaid was Network Architect at WebEx responsible for building the MediaTone network and later I built a startup that built a pattern recognition security chip using NPU/FPGA. Zaid holds several patents in networking and SDN and is also a recognized industry leader. He previously served as a board member of the Open19 Foundation and San Francisco chapter of Internet Society. Currently he serves on DE-CIX and Pensando advisory boards.

 

Sree Ganesan

Head of Software Products
Habana Labs

Sree Ganesan leads Software Product Management at Habana Labs, working alongside a diverse global team to deliver state-of-the-art deep learning capabilities of the Habana SynapseAI® software suite to the market. Previously, she was Engineering Director in Intel’s AI Products Group, where she was responsible for AI software strategy and deep learning framework integration for Nervana NNP AI accelerators.  Ms. Ganesan joined Intel in 2001 and has held a variety of technical and management roles in software engineering, VLSI CAD and SOC design methodology. Ms.

Sree Ganesan

Head of Software Products
Habana Labs

Sree Ganesan

Head of Software Products
Habana Labs

Sree Ganesan leads Software Product Management at Habana Labs, working alongside a diverse global team to deliver state-of-the-art deep learning capabilities of the Habana SynapseAI® software suite to the market. Previously, she was Engineering Director in Intel’s AI Products Group, where she was responsible for AI software strategy and deep learning framework integration for Nervana NNP AI accelerators.  Ms. Ganesan joined Intel in 2001 and has held a variety of technical and management roles in software engineering, VLSI CAD and SOC design methodology. Ms. Ganesan received a bachelor’s degree in electrical engineering from the Indian Institute of Technology Madras, India and a PhD in computer engineering from the University of Cincinnati, Ohio.

 

Shivam Bharuka

Software Production Engineer
Meta

Shivam is an engineering leader with Meta as part of the AI Infrastructure team for the last three years. During this time, he has helped scale the machine learning training infrastructure at Meta to support large scale ranking and recommendation models, serving more than a billion users.

Shivam Bharuka

Software Production Engineer
Meta

Shivam Bharuka

Software Production Engineer
Meta

Shivam is an engineering leader with Meta as part of the AI Infrastructure team for the last three years. During this time, he has helped scale the machine learning training infrastructure at Meta to support large scale ranking and recommendation models, serving more than a billion users. He is responsible for driving performance, reliability, and efficiency-oriented designs across the components of the ML training stack at Meta. Shivam holds a B.S. and an M.S. in Computer Engineering from the University of Illinois at Urbana-Champaign.

 

Mo Faisal

Founder & CEO
Movellus

Prior to founding Movellus, Mo held positions at semiconductor companies including Intel and PMC Sierra. He received his B.S. from the University of Waterloo, and his M.S. and Ph.D. from the University of Michigan, and holds several patents. Mo was named a “Top 20 Entrepreneur” by the University of Michigan Zell Lurie Institute.

Mo Faisal

Founder & CEO
Movellus

Mo Faisal

Founder & CEO
Movellus

Prior to founding Movellus, Mo held positions at semiconductor companies including Intel and PMC Sierra. He received his B.S. from the University of Waterloo, and his M.S. and Ph.D. from the University of Michigan, and holds several patents. Mo was named a “Top 20 Entrepreneur” by the University of Michigan Zell Lurie Institute.

 

Salvador Alvarez

Senior Manager, Product Planning
Achronix
  • Salvador Alvarez is the Senior Manager of Product Planning at Achronix, coordinating the research, development, and launch of new Achronix products and solutions. With over 20 years of experience in product growth, roadmap development, and competitive intelligence and analysis in the semiconductor, automotive, and edge AI industries, Sal Alvarez is a recognized expert in helping customers realize the advantages of edge AI and deep learning technology over legacy cloud AI approaches. Sal holds a B.S.

Salvador Alvarez

Senior Manager, Product Planning
Achronix

Salvador Alvarez

Senior Manager, Product Planning
Achronix
  • Salvador Alvarez is the Senior Manager of Product Planning at Achronix, coordinating the research, development, and launch of new Achronix products and solutions. With over 20 years of experience in product growth, roadmap development, and competitive intelligence and analysis in the semiconductor, automotive, and edge AI industries, Sal Alvarez is a recognized expert in helping customers realize the advantages of edge AI and deep learning technology over legacy cloud AI approaches. Sal holds a B.S. in computer science and electrical engineering from the Massachusetts Institute of Technology.​
 

Karthee Madasamy

Founder & Managing Partner
MFV Partners

Karthee Madasamy

Founder & Managing Partner
MFV Partners

Karthee Madasamy

Founder & Managing Partner
MFV Partners
 

Philipp Schmid

Tech Lead
HuggingFace

Philipp Schmid

Tech Lead
HuggingFace

Philipp Schmid

Tech Lead
HuggingFace
 

Régis Pierrard

Machine Learning Engineer
HuggingFace

Régis Pierrard

Machine Learning Engineer
HuggingFace

Régis Pierrard

Machine Learning Engineer
HuggingFace
 

Brett Simpson

Co-Founder & Partner
Arete Research

Brett Simpson is a co-founder of Arete (formed in 2000) and is based in the firm's London office. He focuses on the global semiconductor component sector. Brett is a regular public speaker at industry events and after 17 years looking at the sector, has a wealth of experience to draw on. Prior to Arete, Brett spent two years at Goldman Sachs in an equity analyst role, specialising in European technology following three years with Ericsson UK, working in business development, covering all aspects of wireline and wireless telecom infrastructure.

Brett Simpson

Co-Founder & Partner
Arete Research

Brett Simpson

Co-Founder & Partner
Arete Research

Brett Simpson is a co-founder of Arete (formed in 2000) and is based in the firm's London office. He focuses on the global semiconductor component sector. Brett is a regular public speaker at industry events and after 17 years looking at the sector, has a wealth of experience to draw on. Prior to Arete, Brett spent two years at Goldman Sachs in an equity analyst role, specialising in European technology following three years with Ericsson UK, working in business development, covering all aspects of wireline and wireless telecom infrastructure.

 

Jian Zhang

Director, Machine Learning
SambaNova Systems

Jian Zhang

Director, Machine Learning
SambaNova Systems

Jian Zhang

Director, Machine Learning
SambaNova Systems
 

Sriraman Chari

Fellow & Head of AI Accelerator IP Solution
Cadence Design Systems

Sriraman Chari

Fellow & Head of AI Accelerator IP Solution
Cadence Design Systems

Sriraman Chari

Fellow & Head of AI Accelerator IP Solution
Cadence Design Systems
 

Manish Pandey

Fellow & VP, R&D
Synopsys

Manish Pandey is Vice President R&D and Fellow at Synopsys, and an Adjunct Professor at Carnegie Mellon University. He completed his PhD in Computer Science from Carnegie Mellon University and a B. Tech. in Computer Science from the Indian Institute of Technology Kharagpur. He currently leads the R&D teams for formal and static technologies, and machine learning at Synopsys. He previously led the development of several static and formal verification technologies at Verplex and Cadence which are in widespread use in the industry.

Manish Pandey

Fellow & VP, R&D
Synopsys

Manish Pandey

Fellow & VP, R&D
Synopsys

Manish Pandey is Vice President R&D and Fellow at Synopsys, and an Adjunct Professor at Carnegie Mellon University. He completed his PhD in Computer Science from Carnegie Mellon University and a B. Tech. in Computer Science from the Indian Institute of Technology Kharagpur. He currently leads the R&D teams for formal and static technologies, and machine learning at Synopsys. He previously led the development of several static and formal verification technologies at Verplex and Cadence which are in widespread use in the industry. Manish has been the recipient of the IEEE Transaction in CAD Outstanding Young author award and holds over two dozen patents and refereed publications.

 

Anthony Wood

Formal Verification Lead
Graphcore

Anthony has held a number of a design and verification roles working on CPUs, GPUs and IPUs at Infineon, Xmos, Imagination and Graphcore.  At Imagination he was head of verification for the high-end GPU cores.  At Graphcore his responsibilities include leveraging formal verification techniques throughout the silicon team; reducing delivery timescales through Continuous Delivery; and working to ensure verification disciplines are adopted for DFT.  He strives to find ways of improving the productivity of silicon engineers and of co

Anthony Wood

Formal Verification Lead
Graphcore

Anthony Wood

Formal Verification Lead
Graphcore

Anthony has held a number of a design and verification roles working on CPUs, GPUs and IPUs at Infineon, Xmos, Imagination and Graphcore.  At Imagination he was head of verification for the high-end GPU cores.  At Graphcore his responsibilities include leveraging formal verification techniques throughout the silicon team; reducing delivery timescales through Continuous Delivery; and working to ensure verification disciplines are adopted for DFT.  He strives to find ways of improving the productivity of silicon engineers and of course he agonises about potential verification holes.

 

Prasun Raha

Head of HW Platform Architecture
Rivian

Prasun Raha

Head of HW Platform Architecture
Rivian

Prasun Raha

Head of HW Platform Architecture
Rivian

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2022 Information Pack

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  • Get an overview of the content themes for each day. For detailed information, view our agenda here
  • Whether you're focused on data & software, systems or hardware - learn about why you should attend 
  • Take a look at our top speakers that you can expect to connect with
  • View detailed insights into who has previously attended the events 

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If you want to reach serious AI technologists in research institutions or enterprises, or find customers in the AI acceleration ecosystem, we want to put you right in the center of the action!

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Talk to us to see how we can elevate your brand in front of our audience of Silicon Valley heavyweights, and give your company an opportunity to address the technologists who are pushing the boundaries of AI forward.

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Testimonials

Advisory Board

Author:

Andrew Feldman

Co-Founder & CEO
Cerebras Systems

Andrew is a co-founder and CEO of Cerebras Systems, a venture-backed stealth-mode startup located in Los Altos, California. He leads a team of phenomenal people with a track record of building products that profoundly changed the largest markets in tech.
Prior to co-founding Cerebras Systems, he was co-founder and CEO of SeaMicro. SeaMicro (acquired by AMD for $355 million) was the pioneer in low power server technology. SeaMicro changed the trajectory of the server industry by inventing the high density, lower power, microserver category.
Prior to co-founding SeaMicro, he was Vice President of Marketing and Product Management at Force10 (acquired by Dell for $800 Million) Networks, and Vice President of Corporate Marketing and Corporate Development for Riverstone Networks (NASDAQ: RSTN) from inception through IPO.
Andrew holds a B.A. and MBA from Stanford University.

Andrew Feldman

Co-Founder & CEO
Cerebras Systems

Andrew is a co-founder and CEO of Cerebras Systems, a venture-backed stealth-mode startup located in Los Altos, California. He leads a team of phenomenal people with a track record of building products that profoundly changed the largest markets in tech.
Prior to co-founding Cerebras Systems, he was co-founder and CEO of SeaMicro. SeaMicro (acquired by AMD for $355 million) was the pioneer in low power server technology. SeaMicro changed the trajectory of the server industry by inventing the high density, lower power, microserver category.
Prior to co-founding SeaMicro, he was Vice President of Marketing and Product Management at Force10 (acquired by Dell for $800 Million) Networks, and Vice President of Corporate Marketing and Corporate Development for Riverstone Networks (NASDAQ: RSTN) from inception through IPO.
Andrew holds a B.A. and MBA from Stanford University.

Author:

Lip-Bu Tan

Executive Chairman
Cadence

Mr. Lip-Bu Tan is a Co-Founder, Partner, Managing Director, and Chairman of Walden International. Mr. Tan serves as Executive Chairman of Cadence Design Systems Inc., and as Chairman on the Board of SambaNova Systems, Inc. Mr. Tan also serves on the Boards of Softbank and Schneider Electric. Until late 2021, Mr Tan served as Chief Executive Officer at Cadence Design Systems Inc. since January 2009, serving as its President from January 2009 to November 2017. Lip-Bu focuses on semiconductor/components, cloud/big data, artificial intelligence and machine learning. Lip-Bu holds a B.S. in Physics from Nanyang University in Singapore, a M.S. in Nuclear Engineering from Massachusetts Institute of Technology, and a M.B.A. from the University of San Francisco. 

Lip-Bu Tan

Executive Chairman
Cadence

Mr. Lip-Bu Tan is a Co-Founder, Partner, Managing Director, and Chairman of Walden International. Mr. Tan serves as Executive Chairman of Cadence Design Systems Inc., and as Chairman on the Board of SambaNova Systems, Inc. Mr. Tan also serves on the Boards of Softbank and Schneider Electric. Until late 2021, Mr Tan served as Chief Executive Officer at Cadence Design Systems Inc. since January 2009, serving as its President from January 2009 to November 2017. Lip-Bu focuses on semiconductor/components, cloud/big data, artificial intelligence and machine learning. Lip-Bu holds a B.S. in Physics from Nanyang University in Singapore, a M.S. in Nuclear Engineering from Massachusetts Institute of Technology, and a M.B.A. from the University of San Francisco. 

Author:

Rashmi Gopinath

General Partner
B Capital Group

Rashmi Gopinath is a General Partner at B Capital Group where she focuses on investments in cloud infrastructure, cybersecurity, devops, and artificial intelligence and machine learning. She brings over two decades of experience investing and operating in enterprise technologies. She led B Capital’s investments in Synack, Innovaccer, Yalo and Armory. Ms. Gopinath was previously a Managing Director at M12, Microsoft's venture fund, where she led investments globally in the enterprise space. At M12, Ms. Gopinath sat on several Boards including Synack, Innovaccer, Contrast Security, Paxata, UnravelData, Incorta, among others. Prior to M12, Ms. Gopinath was an Investment Director with Intel Capital where she was involved in the firm’s investments in startups including MongoDB, ForeScout, Maginatics, BlueData, among others. Ms. Gopinath held operating roles at high-growth startups such as BlueData and Couchbase where she led global business development and product marketing roles. She began her career in engineering and product roles at Oracle and GE Healthcare. Ms. Gopinath earned an M.B.A. from Northwestern University, and a B.S. in Engineering from University of Mumbai in India.

Rashmi Gopinath

General Partner
B Capital Group

Rashmi Gopinath is a General Partner at B Capital Group where she focuses on investments in cloud infrastructure, cybersecurity, devops, and artificial intelligence and machine learning. She brings over two decades of experience investing and operating in enterprise technologies. She led B Capital’s investments in Synack, Innovaccer, Yalo and Armory. Ms. Gopinath was previously a Managing Director at M12, Microsoft's venture fund, where she led investments globally in the enterprise space. At M12, Ms. Gopinath sat on several Boards including Synack, Innovaccer, Contrast Security, Paxata, UnravelData, Incorta, among others. Prior to M12, Ms. Gopinath was an Investment Director with Intel Capital where she was involved in the firm’s investments in startups including MongoDB, ForeScout, Maginatics, BlueData, among others. Ms. Gopinath held operating roles at high-growth startups such as BlueData and Couchbase where she led global business development and product marketing roles. She began her career in engineering and product roles at Oracle and GE Healthcare. Ms. Gopinath earned an M.B.A. from Northwestern University, and a B.S. in Engineering from University of Mumbai in India.

Author:

Karl Freund

Founder & Principal Analyst
Cambrian AI Research

Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.

 

Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.

Accomplishments during his career include:

  • Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
  • Created an industry-wide thought leadership position for Calxeda in the ARM Server market
  • Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
  • Built the IBM Power Server brand from 14% market share to over 50% share
  • Integrated the Tivoli brand into the IBM company’s branding and marketing organization
  • Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition

 

Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).

 

Karl Freund

Founder & Principal Analyst
Cambrian AI Research

Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.

 

Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.

Accomplishments during his career include:

  • Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
  • Created an industry-wide thought leadership position for Calxeda in the ARM Server market
  • Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
  • Built the IBM Power Server brand from 14% market share to over 50% share
  • Integrated the Tivoli brand into the IBM company’s branding and marketing organization
  • Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition

 

Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).

 

Author:

Yvonne Lutsch

Investment Principal
Bosch Ventures

Yvonne is an Investment Principal at Robert Bosch Venture Capital’s (RBVC) affiliate office located in Sunnyvale, responsible for sourcing, evaluating and executing investments for RBVC in North America in deep tech fields like Machine Learning/AI, Edge Computing, Industrial IoT, Mobility, Quantum Computing, or Sensors. She is an investor / non-executive board member at RBVC’s portfolio companies InSyte Systems, Syntiant, Zapata Computing, and UltraSense Systems. Prior to this position Yvonne was Director of Technology Scouting and Business Development for Bosch Automotive Electronics building up an Innovation Center for the division in North America. Prior to that, Yvonne held different leadership positions in Quality Management, Operations and Engineering in Automotive and Consumer Electronics with Bosch in Germany. Yvonne received a diploma in Experimental Physics from University of Siegen, Germany, and holds a PhD in Applied Physics from University of Tuebingen, Germany.

Yvonne Lutsch

Investment Principal
Bosch Ventures

Yvonne is an Investment Principal at Robert Bosch Venture Capital’s (RBVC) affiliate office located in Sunnyvale, responsible for sourcing, evaluating and executing investments for RBVC in North America in deep tech fields like Machine Learning/AI, Edge Computing, Industrial IoT, Mobility, Quantum Computing, or Sensors. She is an investor / non-executive board member at RBVC’s portfolio companies InSyte Systems, Syntiant, Zapata Computing, and UltraSense Systems. Prior to this position Yvonne was Director of Technology Scouting and Business Development for Bosch Automotive Electronics building up an Innovation Center for the division in North America. Prior to that, Yvonne held different leadership positions in Quality Management, Operations and Engineering in Automotive and Consumer Electronics with Bosch in Germany. Yvonne received a diploma in Experimental Physics from University of Siegen, Germany, and holds a PhD in Applied Physics from University of Tuebingen, Germany.

Author:

Kunle Olukotun

Co-founder and Chief Technologist
SambaNova Systems

Kunle Olukotun is Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. He founded Afara Websystems, acquired by Sun in 2002. He is a Pioneer of Chip Multiprocessor Designs, Director of the Stanford Pervasive Parallelism Lab, and Co-leader of the Data Analytics for What’s Next (DAWN) research program.

In 2017 Olukotun and Chris Ré founded SambaNova Systems. SambaNova Systems has developed a disruptive next-generation computing platform to power machine learning and data analytics.

Kunle Olukotun

Co-founder and Chief Technologist
SambaNova Systems

Kunle Olukotun is Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. He founded Afara Websystems, acquired by Sun in 2002. He is a Pioneer of Chip Multiprocessor Designs, Director of the Stanford Pervasive Parallelism Lab, and Co-leader of the Data Analytics for What’s Next (DAWN) research program.

In 2017 Olukotun and Chris Ré founded SambaNova Systems. SambaNova Systems has developed a disruptive next-generation computing platform to power machine learning and data analytics.

Author:

Cliff Young

Software Engineer
Google Brain

Cliff Young

Software Engineer
Google Brain

Author:

Marc Tremblay

Distinguished Engineer
Microsoft

Marc Tremblay

Distinguished Engineer
Microsoft

Author:

Victoria Rege

Director of Alliances & Strategic Partnerships
Graphcore

Victoria has over a decade of experience in the semiconductor space. She currently heads up Strategic Partnerships at Graphcore, working with key customers and leading Research & Universities AI engagements. Previously she held several leadership positions at NVIDIA from global alliances, product marketing and campaigns to the founding of the GPU Technology Conference. Prior to joining NVIDIA, Victoria worked in the hedge fund space, as Executive Director for the Hedge Fund Business Operations Association. Victoria is a frequent contributor to ACM SIGGRAPH and is Immersive Chair for the SIGGRAPH 2019 Conference. She's also an active member of the Consumer Technology Association's AI Working Group.

Victoria Rege

Director of Alliances & Strategic Partnerships
Graphcore

Victoria has over a decade of experience in the semiconductor space. She currently heads up Strategic Partnerships at Graphcore, working with key customers and leading Research & Universities AI engagements. Previously she held several leadership positions at NVIDIA from global alliances, product marketing and campaigns to the founding of the GPU Technology Conference. Prior to joining NVIDIA, Victoria worked in the hedge fund space, as Executive Director for the Hedge Fund Business Operations Association. Victoria is a frequent contributor to ACM SIGGRAPH and is Immersive Chair for the SIGGRAPH 2019 Conference. She's also an active member of the Consumer Technology Association's AI Working Group.

Author:

Cheng Wang

Co-Founder & SVP, Architecture & Engineering
Flex Logix

Originally from Shanghai, PRC.  Cheng has led the architecture, silicon implementation and software development for eFPGA over multiple generations from 180nm-16nm and now AI inferencing development at Flex Logix. Two years as VLSI designer at Zoran. BSEECS, UC Berkeley.  MSEE, EE PhD UCLA: designed 5 FPGA chips from 90nm to 40nm. 2013 Distinguished PhD Dissertation Award. 2014 ISSCC Lewis Winner Award for Outstanding Paper. Multiple patents at UCLA and Flex Logix.

Cheng Wang

Co-Founder & SVP, Architecture & Engineering
Flex Logix

Originally from Shanghai, PRC.  Cheng has led the architecture, silicon implementation and software development for eFPGA over multiple generations from 180nm-16nm and now AI inferencing development at Flex Logix. Two years as VLSI designer at Zoran. BSEECS, UC Berkeley.  MSEE, EE PhD UCLA: designed 5 FPGA chips from 90nm to 40nm. 2013 Distinguished PhD Dissertation Award. 2014 ISSCC Lewis Winner Award for Outstanding Paper. Multiple patents at UCLA and Flex Logix.

Venue

Santa Clara Marriott, 2700 Mission College Blvd, Santa Clara, CA 95054, United States

For reservations please click here or call Marriott reservations at (800) 228-9290 or (408) 988-1500. NOTE: Individual room reservations require a minimum of 72-hour notice to avoid a cancellation charge of one night’s room and tax.

Room rate: $253 per night + tax - BOOK NOW

Reservations must be received on or before Friday, August 26 2022

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If you would like to register a team of 3 or more, please email [email protected] for your discount coupon code before registering. PLEASE NOTE: Discounts cannot be combined with Early Bird Pricing or any other discount or offer. If you have any questions about your registration, please call us on +44 (0)20 3696 2920

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Saturday, August 6, 2022 to Friday, September 16, 2022
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Upon registration: Access to all presentations from AI Systems Summit: Research 2022 and Edge AI Summit 2021
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