AI Hardware Summit 2020 | Kisaco Research

THE INDUSTRY EVENT FOR THE AI HARDWARE ECOSYSTEM

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VIRTUAL EVENT | PDT Timezone
29 September, 2020-7 October, 2020
1000
Attendees across portfolio
100+
Leading speakers across portfolio
3
Industry Leading Summits

Why Attend

  • Luminary Keynotes: Unique perspectives from industry luminaries such as Turing Award Winner David Patterson, and venture capital pathfinder and computer hardware industry veteran, Vinod Khosla. Returning 2019 AIHW Summit luminary Lip-Bu Tan, CEO of Cadence Design Systems.
  • Innovations and Optimizations of Silicon & Systems for AI Training & Inference: Product launches & deep-dives from C-level executives in the AI Hardware industry.
  • Optimizing Machine Learning Systems: Hyperscaler perspectives on designing & engineering bleeding-edge AI systems, from hardware through software. ML system co-design and protecting compute performance gains by eliminating system-level inefficiencies.
  • Inference in Client (Edge) Computing: Applications for AI accelerators in cameras, consumer electronics, autonomous vehicles etc.
  • Preserving Developer Efficiency in the Adoption of Novel AI Hardware
  • Beyond Compute: AI’s Impact on memory, storage & networking: Innovations in HBM, on-chip memory and NVM, I/O bottlenecks, data transfer & high-speed interconnects.
  • Managing Machine Learning Models at Scale: Machine Learning hardware robustness & reprogrammability, model standardization & interoperability.
  • Financial & Industrial Analysis: New in 2020: Presentation of the results and insights from AI Hardware Summit’s first comprehensive vendor comparison report, detailing 20 vendors. VC investment and broader market trends & dynamics, benchmarking & metrics.

Networking at the virtual AI Hardware Summit

Get access to the attendee list before the show and schedule 1-2-1 meetings with attendees, speakers and sponsors throughout the conference so you don’t miss out on networking & interaction opportunities.

Upcoming Webinars

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Advisory Board

Andrew Feldman

Co-Founder & CEO
Cerebras Systems

Lip-Bu Tan

CEO
Cadence Design Systems

Rashmi Gopinath

General Partner
B Capital Group

Karl Freund

Senior Analyst, Machine Learning & HPC
Moor Insights & Strategy

Yvonne Lutsch

Investment Principal
Bosch Ventures

Kunle Olukotun

Co-founder and Chief Technologist
SambaNova Systems

Cliff Young

Software Engineer
Google Brain

Marc Tremblay

Distinguished Engineer
Microsoft

Victoria Rege

Director of Alliances & Strategic Partnerships
Graphcore

Cheng Wang

Co-Founder & SVP, Architecture & Engineering
Flex Logix

Rick Merritt

Staff Writer
NVIDIA

Jimmy Pike

SVP & Senior Fellow, Servers and Infrastructure Systems
Dell EMC

Sailesh Kottapalli

Senior Fellow, Chief Architect, Datacenter Processor Architecture
Intel

Early Confirmed Speakers

 

David Patterson

Distinguished Engineer
Google

David Patterson is a UC Berkeley professor of the graduate school, a Google distinguished engineer, and the RISC-V Foundation Vice-Chair. He received his BA, MS, and PhD degrees from UCLA. His Reduced Instruction Set Computer (RISC), Redundant Array of Inexpensive Disks (RAID), and Network of Workstation projects helped lead to multibillion-dollar industries. This work led to about 40 awards for research, teaching, and service plus many papers and seven books. The best known book is Computer Architecture: A Quantitative Approach and the newest is The RISC-V Reader.

David Patterson

Distinguished Engineer
Google

David Patterson

Distinguished Engineer
Google

David Patterson is a UC Berkeley professor of the graduate school, a Google distinguished engineer, and the RISC-V Foundation Vice-Chair. He received his BA, MS, and PhD degrees from UCLA. His Reduced Instruction Set Computer (RISC), Redundant Array of Inexpensive Disks (RAID), and Network of Workstation projects helped lead to multibillion-dollar industries. This work led to about 40 awards for research, teaching, and service plus many papers and seven books. The best known book is Computer Architecture: A Quantitative Approach and the newest is The RISC-V Reader. He and his co-author John Hennessy shared the 2017 ACM A.M Turing Award.

 

Vinod Khosla

Founder
Khosla Ventures

V​inod Khosla is an entrepreneur, investor, and technology fan. He is the founder of Khosla Ventures, focused on impactful technology investments in software, AI, robotics, 3D printing, healthcare and more​.  Mr. Khosla was a co-founder of Daisy systems and founding CEO of Sun Microsystems where he pioneered open systems and commercial RISC processors. One of Mr. Khosla’s greatest passions is being a mentor to entrepreneurs, assisting entrepreneurs and helping them build technology-based businesses. ​Mr.

Vinod Khosla

Founder
Khosla Ventures

Vinod Khosla

Founder
Khosla Ventures

V​inod Khosla is an entrepreneur, investor, and technology fan. He is the founder of Khosla Ventures, focused on impactful technology investments in software, AI, robotics, 3D printing, healthcare and more​.  Mr. Khosla was a co-founder of Daisy systems and founding CEO of Sun Microsystems where he pioneered open systems and commercial RISC processors. One of Mr. Khosla’s greatest passions is being a mentor to entrepreneurs, assisting entrepreneurs and helping them build technology-based businesses. ​Mr. Khosla is driven by the desire to make positive impact through using to technology to reinvent societal infrastructure and multiply resources.  He is also passionate about Social Entrepreneurship. Vinod holds a Bachelor of Technology in Electrical Engineering from IIT, New Delhi, a Master's in Biomedical Engineering from Carnegie Mellon University and an MBA from the Stanford Graduate School of Business. 

 

Rashmi Gopinath

General Partner
B Capital Group

Rashmi Gopinath

General Partner
B Capital Group

Rashmi Gopinath

General Partner
B Capital Group
 

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.

 

Lip-Bu Tan

CEO
Cadence Design Systems

Lip-Bu Tan has served as CEO of Cadence Design Systems, Inc. since January 2009 and has been a member of the Cadence Board of Directors since February 2004. He served as President of the company from 2009 to 2017. He also serves as chairman of Walden International, a venture capital firm he founded in 1987. Prior to founding Walden, Tan was Vice President at Chappell & Co. and held management positions at EDS Nuclear and ECHO Energy.

 

Lip-Bu Tan

CEO
Cadence Design Systems

Lip-Bu Tan

CEO
Cadence Design Systems

Lip-Bu Tan has served as CEO of Cadence Design Systems, Inc. since January 2009 and has been a member of the Cadence Board of Directors since February 2004. He served as President of the company from 2009 to 2017. He also serves as chairman of Walden International, a venture capital firm he founded in 1987. Prior to founding Walden, Tan was Vice President at Chappell & Co. and held management positions at EDS Nuclear and ECHO Energy.

 

He is a member of The Business Council, is Chairman of the Board of SambaNova Systems, Inc, and serves on the board of directors of Hewlett Packard Enterprise Co., Schneider Electric, and Green Hills Software, as well as on the boards of the Electronic System Design Alliance (ESD Alliance) and the Global Semiconductor Association (GSA). He also serves on the Board of Trustees and the School of Engineering Dean’s Council at Carnegie Mellon University (CMU). Tan was the recipient of the 2016 GSA Morris Chang Exemplary Leadership Award.

 

Tan received a BS from Nanyang University in Singapore, an MS in nuclear engineering from the Massachusetts Institute of Technology, and an MBA from the University of San Francisco.

 

Carole-Jean Wu

Research Scientist
Facebook

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
Facebook

Carole-Jean Wu

Research Scientist
Facebook

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.

 

Cheng Wang

Co-Founder & SVP, Architecture & Engineering
Flex Logix

CHENG WANG. Senior VP Engineering: Architecture, Software, Silicon. Originally from Shanghai, PRC. BSEECS, UC Berkeley. Cheng has led the architecture, silicon implementation and software development for eFPGA over two generations from 180nm-16nm and now neural inferencing. Two years as VLSI designer at Zoran. 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

Cheng Wang

Co-Founder & SVP, Architecture & Engineering
Flex Logix

CHENG WANG. Senior VP Engineering: Architecture, Software, Silicon. Originally from Shanghai, PRC. BSEECS, UC Berkeley. Cheng has led the architecture, silicon implementation and software development for eFPGA over two generations from 180nm-16nm and now neural inferencing. Two years as VLSI designer at Zoran. 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.

Flex Logix’s NMAX platform excels at getting high hardware utilization at batch=1, which is critical for edge applications. Most of the new information is in the 2nd half of the slide deck.

NMAX delivers from 1 to 100+TOPS, as you need, at 10x lower cost and 3-5x lower power than existing solutions because we get 50-80% MAC utilization on tough models, meaning we need less silicon area, and we achieve it with 10x less DRAM bandwidth, meaning less DRAM cost and system power.

 

Gayathri Radhakrishnan

Partner
Micron Ventures

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

Partner
Micron Ventures

Gayathri Radhakrishnan

Partner
Micron Ventures

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.

 

Karl Freund

Senior Analyst, Machine Learning & HPC
Moor Insights & Strategy

Karl Freund is 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

Senior Analyst, Machine Learning & HPC
Moor Insights & Strategy

Karl Freund

Senior Analyst, Machine Learning & HPC
Moor Insights & Strategy

Karl Freund is 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).

 

 

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

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.

 

Yvonne Lutsch

Investment Principal
Bosch Ventures

Yvonne Lutsch

Investment Principal
Bosch Ventures

Yvonne Lutsch

Investment Principal
Bosch Ventures
 

Samar Dalal

Senior Manager (TLM), Architecture & Design
Uber

Samar Dalal

Senior Manager (TLM), Architecture & Design
Uber

Samar Dalal

Senior Manager (TLM), Architecture & Design
Uber
 

Dr. Thomas Andersen

Head of Machine Learning & AI Design Group
Synopsys

Dr. Andersen heads the artificial intelligence and machine learning design group at Synopsys, where he focuses on developing new technologies in the AI and ML space to automate the future of chip design. He has more than 20 years of experience in the semiconductor and EDA industry. Dr. Andersen started his career at IBM’s TJ Watson Research Center in Yorktown Heights, New York, followed by managing synthesis/place-and-route engineering at Magma Design Automation and Synopsys. He holds a Master’s degree from the University of Stuttgart and a Ph.D.

Dr. Thomas Andersen

Head of Machine Learning & AI Design Group
Synopsys

Dr. Thomas Andersen

Head of Machine Learning & AI Design Group
Synopsys

Dr. Andersen heads the artificial intelligence and machine learning design group at Synopsys, where he focuses on developing new technologies in the AI and ML space to automate the future of chip design. He has more than 20 years of experience in the semiconductor and EDA industry. Dr. Andersen started his career at IBM’s TJ Watson Research Center in Yorktown Heights, New York, followed by managing synthesis/place-and-route engineering at Magma Design Automation and Synopsys. He holds a Master’s degree from the University of Stuttgart and a Ph.D. in Computer Engineering from the University of Kaiserslautern in Germany.

 

Julien Simon

Global AI & Machine Learning Evangelist
Amazon Web Services

As the Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, blogs on the AWS Blog and Medium, and runs an AI/ML podcast.

Julien Simon

Global AI & Machine Learning Evangelist
Amazon Web Services

Julien Simon

Global AI & Machine Learning Evangelist
Amazon Web Services

As the Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, blogs on the AWS Blog and Medium, and runs an AI/ML podcast.

Prior to joining AWS, Julien served for 10 years as CTO/VP Engineering in top-tier web startups where he led large Software and Ops teams in charge of thousands of servers worldwide. In the process, he fought his way through a wide range of technical, business and procurement issues, which helped him gain a deep understanding of physical infrastructure, its limitations and how cloud computing can help.

Last but not least, Julien holds ten AWS certifications.

 

 

Russell James

VP of Strategy, AI & Compute
Imagination Technologies

Russell James

VP of Strategy, AI & Compute
Imagination Technologies

Russell James

VP of Strategy, AI & Compute
Imagination Technologies
 

David Kanter

Inference Co-Chair
MLPerf

David Kanter

Inference Co-Chair
MLPerf

David Kanter

Inference Co-Chair
MLPerf
 

Peter Mattson

Staff Engineer
Google

Peter Mattson leads the ML Performance Measurement at Google. He co-founded and is the General Chair of MLPerf. Previously, he founded the Programming Systems and Applications Group at NVIDIA Research, was VP of software infrastructure for Stream Processors Inc (SPI), and was a managing engineer at Reservoir Labs. His research focuses on accelerating and understanding the behavior of machine learning systems by applying novel benchmarks and analysis tools. Peter holds a PhD and MS from Stanford University and a BS from the University of Washington.

Peter Mattson

Staff Engineer
Google

Peter Mattson

Staff Engineer
Google

Peter Mattson leads the ML Performance Measurement at Google. He co-founded and is the General Chair of MLPerf. Previously, he founded the Programming Systems and Applications Group at NVIDIA Research, was VP of software infrastructure for Stream Processors Inc (SPI), and was a managing engineer at Reservoir Labs. His research focuses on accelerating and understanding the behavior of machine learning systems by applying novel benchmarks and analysis tools. Peter holds a PhD and MS from Stanford University and a BS from the University of Washington.

 

Greg Diamos

Engineering Lead
Landing AI

Greg leads transformation engineering at Landing AI, focusing on building new AI engineering organizations.  He is a founding member of MLPerf. Previously he lead AI research at Baidu’s Silicon Valley AI Lab (SVAIL), where he helped develop the Deep Speech and Deep Voice systems. Before Baidu, Greg contributed to the design of compiler and microarchitecture technologies used in the Volta GPU at NVIDIA, including the invention of the SIMT independent thread scheduling system.

Greg Diamos

Engineering Lead
Landing AI

Greg Diamos

Engineering Lead
Landing AI

Greg leads transformation engineering at Landing AI, focusing on building new AI engineering organizations.  He is a founding member of MLPerf. Previously he lead AI research at Baidu’s Silicon Valley AI Lab (SVAIL), where he helped develop the Deep Speech and Deep Voice systems. Before Baidu, Greg contributed to the design of compiler and microarchitecture technologies used in the Volta GPU at NVIDIA, including the invention of the SIMT independent thread scheduling system. Greg holds a PhD from the Georgia Institute of Technology, where he led the development of the GPU-Ocelot dynamic compiler, which targeted CPUs and GPUs from the same program representation.

 

Jeff Jiao

Principal Architect of AI Chip
Alibaba Group

Jeff Jiao

Principal Architect of AI Chip
Alibaba Group

Jeff Jiao

Principal Architect of AI Chip
Alibaba Group
 

Dileep George

Co-Founder
Vicarious

Before cofounding Vicarious, Dileep was CTO of Numenta, an AI company he cofounded with Jeff Hawkins and Donna Dubinsky. Before Numenta, Dileep was a Research Fellow at the Redwood Neuroscience Institute. Dileep has authored 22 patents and several influential papers on the mathematics of brain circuits. Dileep’s research on hierarchical models of the brain earned him a PhD in Electrical Engineerings from Stanford University. He earned in MS in EE from Stanford and his BS from IIT in Bombay.

Dileep George

Co-Founder
Vicarious

Dileep George

Co-Founder
Vicarious

Before cofounding Vicarious, Dileep was CTO of Numenta, an AI company he cofounded with Jeff Hawkins and Donna Dubinsky. Before Numenta, Dileep was a Research Fellow at the Redwood Neuroscience Institute. Dileep has authored 22 patents and several influential papers on the mathematics of brain circuits. Dileep’s research on hierarchical models of the brain earned him a PhD in Electrical Engineerings from Stanford University. He earned in MS in EE from Stanford and his BS from IIT in Bombay.

 

Zaid Kahn

GM, Azure Infrastructure
Microsoft

Zaid is currently GM in the 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, Azure Infrastructure
Microsoft

Zaid Kahn

GM, Azure Infrastructure
Microsoft

Zaid is currently GM in the 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.

 

Michael Azoff

Chief Analyst
Kisaco Research

With over 17 years analyst experience, most recently at Ovum/ Informa, Michael Azoff joined Kisaco Research, the company behind the AI Hardware and Edge AI Summit series, in 2020 as Chief Analyst. His responsibilities include the production of Kisaco Research’s first industry vendor comparison report comprising of nearly 20 AI chip vendors across the global ecosystem.

Michael Azoff

Chief Analyst
Kisaco Research

Michael Azoff

Chief Analyst
Kisaco Research

With over 17 years analyst experience, most recently at Ovum/ Informa, Michael Azoff joined Kisaco Research, the company behind the AI Hardware and Edge AI Summit series, in 2020 as Chief Analyst. His responsibilities include the production of Kisaco Research’s first industry vendor comparison report comprising of nearly 20 AI chip vendors across the global ecosystem.

In his career Michael worked at Rutherford Appleton Laboratory building simulators for electron and hole transport in semiconductors for UK national and European community research projects and published papers in learned journals. He then turned to building neural networks when backpropagation was invented and created a startup selling his Prognostica Microsoft Excel add-in for time series forecasting and wrote a book on the topic for publisher John Wiley & Sons in 1994. Since 2003 he has worked as an IT industry analyst covering software engineering topics, from agile and DevOps, to application lifecycle management and cloud native computing. He started covering machine learning when deep learning emerged as the most recent wave of interest in AI and left his position as Distinguished Analyst at Ovum/Informa to join Kisaco Research and help build an analyst capability.

 

Bryan Catanzaro

VP, Applied Deep Learning Research
NVIDIA

Bryan Catanzaro is vice president of Applied Deep Learning Research at NVIDIA, where he leads a team finding new ways to use AI to improve projects ranging from language understanding to computer graphics and chip design. Bryan's research at NVIDIA led to the creation of CUDNN, and more recently, he helped lead the team that invented DLSS 2.0. Prior to NVIDIA, he worked at Baidu to create next-generation systems for training and deploying end-to-end, deep learning-based speech recognition.

Bryan Catanzaro

VP, Applied Deep Learning Research
NVIDIA

Bryan Catanzaro

VP, Applied Deep Learning Research
NVIDIA

Bryan Catanzaro is vice president of Applied Deep Learning Research at NVIDIA, where he leads a team finding new ways to use AI to improve projects ranging from language understanding to computer graphics and chip design. Bryan's research at NVIDIA led to the creation of CUDNN, and more recently, he helped lead the team that invented DLSS 2.0. Prior to NVIDIA, he worked at Baidu to create next-generation systems for training and deploying end-to-end, deep learning-based speech recognition. Bryan received his PhD in Electrical Engineering and Computer Sciences from the University of California, Berkeley.

 

Dieter Ernst

Senior Fellow
Centre for International Governance Innovation

Dieter Ernst is a senior fellow at CIGI, where he explores unresolved challenges for the global governance of trade, intellectual property (IP) and innovation, addressing two main issues: finding out what adjustments are needed in the development and use of IP, in particular, patents and trade secrets, to cope with the requirements of increasingly complex and diverse global corporate networks of production and innovation; and dealing with the effects of the proliferation of strategic patenting behaviour on the organization and governance of these global networks.

Dieter Ernst

Senior Fellow
Centre for International Governance Innovation

Dieter Ernst

Senior Fellow
Centre for International Governance Innovation

Dieter Ernst is a senior fellow at CIGI, where he explores unresolved challenges for the global governance of trade, intellectual property (IP) and innovation, addressing two main issues: finding out what adjustments are needed in the development and use of IP, in particular, patents and trade secrets, to cope with the requirements of increasingly complex and diverse global corporate networks of production and innovation; and dealing with the effects of the proliferation of strategic patenting behaviour on the organization and governance of these global networks.

Based in Hawaii, he is currently a senior fellow at the East-West Center. Previously, he served as a member of the US National Academies’ Committee on Global Approaches to Advanced Computing, as a senior adviser to the Organisation for Economic Co-operation and Development in Paris, and as a research director of the Berkeley Roundtable on the International Economy at the University of California at Berkeley.

Previously, Dieter was a professor of international business at the Copenhagen Business School and served as a scientific adviser to governments, private companies and international institutions, including the World Bank, the UN Conference on Trade and Development and the UN Industrial Development Organization.

He holds a Ph.D. in economics from the University of Bremen.

 

 

Dima Rekesh

Senior Distinguished Engineer
Optum Tech

Dima Rekesh

Senior Distinguished Engineer
Optum Tech

Dima Rekesh

Senior Distinguished Engineer
Optum Tech
 

Vivenne Sze

Associate Professor
MIT

Vivenne Sze

Associate Professor
MIT

Vivenne Sze

Associate Professor
MIT
 

Priyanka Raina

Assistant Professor
Stanford

Priyanka Raina

Assistant Professor
Stanford

Priyanka Raina

Assistant Professor
Stanford
 

Shahin Farshschi

Partner
Lux Capital

Shahin empowers entrepreneurs aiming to accelerate humanity towards a brighter future through feats of engineering. He is passionate about artificial intelligence, robots, space, cars, and engines—pretty much anything you might find in an episode of Star Trek.

Shahin Farshschi

Partner
Lux Capital

Shahin Farshschi

Partner
Lux Capital

Shahin empowers entrepreneurs aiming to accelerate humanity towards a brighter future through feats of engineering. He is passionate about artificial intelligence, robots, space, cars, and engines—pretty much anything you might find in an episode of Star Trek.

He led Lux’s investments in Silicon Clocks (NASDAQ:SLAB), which shrank electronics by baking bulky quartz crystals into silicon chips; SiBeam (NASDAQ:SIMG), which aims to eliminate wires from living rooms by introducing full-HD wireless connectivity; Planet, which is launching the world’s largest fleet of Earth-imaging satellites; Plethora, which is rolling out a fleet of robotic machine shops; Flex Logix, making chips that can reprogram themselves; Nervana (NASDAQ:INTC), the first full-stack platform for machine intelligence; Mythic, bringing powerful AI to miniature, inexpensive devices; Astranis, which is building low-cost telecommunications satellites; Embodied Intelligence, which empowers industrials to perceive and act like humans; Aeva, a new sensing paradigm for autonomous machines; Arraiy, a platform for automating visual effects; SubSpace, a company providing real-time, latency-free internet; and Scaled Inference.

Previously, Shahin co-founded Vista Integrated Systems, which built wireless vital sign monitors based on a neural interface technology he developed during his PhD at UCLA. Shahin also developed hybrid electric vehicles for GM in Detroit, worked as a software developer in several Silicon Valley startups, and researched new techniques for semiconductor manufacturing. He earned his Bachelor’s in EECS at UC Berkeley.

 

Tatiana Shpeisman

Senior Engineering Manager
Google

Tatiana Shpeisman

Senior Engineering Manager
Google

Tatiana Shpeisman

Senior Engineering Manager
Google
 

Steven Woo

Rambus Fellow and Distinguished Inventor
Rambus

Steven Woo

Rambus Fellow and Distinguished Inventor
Rambus

Steven Woo

Rambus Fellow and Distinguished Inventor
Rambus
 

Igor Carron

Co-Founder & CEO
LightOn

Igor has held several positions in business development and the management of technical teams in space and nuclear engineering projects. He is also the co-organizer of the Paris Machine Learning meetup, one of the largest Data Science meetups in the world with more than 7,000 members. Igor also writes a technical blog with a focus on algorithms, data and sensors that has been viewed more than 7 million times since its inception. Igor holds a Ph.D from Texas A&M University and an Engineering degree from INPG.

Igor Carron

Co-Founder & CEO
LightOn

Igor Carron

Co-Founder & CEO
LightOn

Igor has held several positions in business development and the management of technical teams in space and nuclear engineering projects. He is also the co-organizer of the Paris Machine Learning meetup, one of the largest Data Science meetups in the world with more than 7,000 members. Igor also writes a technical blog with a focus on algorithms, data and sensors that has been viewed more than 7 million times since its inception. Igor holds a Ph.D from Texas A&M University and an Engineering degree from INPG.

 

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.

AUDIENCE BREAKDOWN

AI Hardware Summit Audience Breakdown

Past attendees include: 

Platinum Partners

Gold Partners

Event Partners

Showcase Partner

Media Partners

Become a Sponsor

Kisaco Research provides the much-needed platform on which industry executives can network, connect and learn from each other as well as meet potential industry partners.

Far from the typical ‘meet-and-greet’ exhibition experience, you – as a sponsor or exhibitor – will be positioned as a partner of the event with a focus on the benefits of your product and brand, rather than just a name on an exhibition list.

With our extensive marketing experience and strategy, your partnership with Kisaco Research will grant you a sponsorship package that is an extension and enhancement of your current marketing and branding efforts. We value your ROI and will work with you directly on your specific goals and targets – that’s why we take special care in finding the most relevant end-users to attend, so that your financial and resource investment is smartly allocated.

Find out more by calling us at +44 (0)20 3696 2920 or email us at [email protected].

Interested in a media partner pass?

This year we have a very limited number of press passes available to attend the event. If you regularly cover the AI chip industry and want to stay at the cusp of innovation and hear the latest product and company launches, get in touch. 

Contact: Finola McMahon, Marketing Director
fm@kisacoresearch.com 

Highlights

 

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TESTIMONIALS

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The Virtual Platform

           

The Agenda

front_cover_10.06.2020.pngPlease complete your details to receive a copy of the 2020 agenda to explore the type of topics that will be covered. 

Watch video highligts from the AI Hardware Summit 2019: 

Download 2020 Virtual Agenda

Conference Packages

Sending Your Team? Group Discounts Available!

Applicable for Primary Market, Service Provider and Industry Rates Only. Not available for Academic or ‘Start-Up’ rates

Book a Team of 3+ - Save an Additional 10% Off
Book a Team of 5+ - Save an Additional 15% Off

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

We accept the following cards through Stripe:

Registration ends in

Saturday, August 1, 2020 to Wednesday, October 7, 2020
One Day Pass
$399
This pass will give you access to your chosen day's live content, 1-2-1 meetings and on-demand content. 
Customize your event experience, select the days that you want to attend.
On-demand add on pass available. Access on-demand content from all 4 days for an additional $99.
To increase your brand presence, contact Ben Edwards, [email protected]
Saturday, August 1, 2020 to Wednesday, October 7, 2020
4 Day Pass
$749
This pass will give you access to all live content, 1-2-1 meetings and on-demand content across the 4 day event.
You will also have the ability to book 1-2-1 meetings throughout the 2 weeks that the event is taking place.
To increase your brand presence, contact Ben Edwards, [email protected]
Wednesday, May 13, 2020 to Wednesday, October 7, 2020
On-demand Pass
$249
This pass will give you access to all content on-demand after the event has taken place.
Please note, this pass will not give you access to live content or 1-2-1 meetings.
Preparing registration...

About Kisaco Research

Kisaco Research produces, designs and hosts B2B industry conferences, exhibitions and communities – focused on a specialized selection of topic areas.

Meet industry peers that will help build a career-changing network for life.

Learn from the mistakes of your peers as much as their successes—ambitious industry stalwarts who are happy to share not just what has made them successful so far but also their plans for future proofing their companies.

Note down the inspired insight that will form the foundation for future strategies and roadmaps, both at our events and through our online communities.

Invest both in your company growth and your own personal development by signing up to one of our events and get started.

Other events you might be interested in:

AI Hardware Summit Europe

Edge AI Summit 2020