AI Hardware Summit 2021 | Kisaco Research

THE INDUSTRY EVENT FOR THE AI HARDWARE ECOSYSTEM

View Agenda
Mountain View, CA
13-16 September, 2021

“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
AI Hardware Partners
700+
Attendees
60+
Leading Speakers

Why Attend

The AI Hardware Summit is the premier event focused on accelerating AI workloads in the cloud and at the edge.  From the design of components and systems, through to the execution of the workload, AI acceleration is an end-to-end challenge. Our community’s goal is to reduce time-to-value in the ML lifecycle, and to unlock new possibilities for AI development.

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

The AI Hardware Summit is first and foremost for technologists – inventors, architects and engineers - as well as researchers working on the latest AI models, and leaders from industries who are implementing machine learning at scale in their organizations.

In 2021, the summit will cover: AI acceleration at the systems level, training efficiency (particularly of large language models), cloud inference (of vision & recommender systems), edge AI & tinyML, novel neural network architectures, and software techniques for AI optimization.

2021 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.

Author:

Lip-Bu Tan

CEO: Cadence Design Systems & President: Walden International
Cadence Design Systems

Mr. Lip-Bu Tan is a Co-Founder, Partner, Managing Director, and Chairman of Walden International. Mr. Tan serves as the Chairman on the Board of SambaNova Systems, Inc., and has been the 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

Author:

Karl Freund

Founder & Principal Analyst
Cambrian AI Research

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).

 

Author:

Yvonne Lutsch

Investment Principal
Bosch Ventures

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.

Author:

Cliff Young

Software Engineer
Google Brain

Author:

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.

Author:

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.

Author:

Rick Merritt

Staff Writer
NVIDIA

Author:

Jimmy Pike

SVP & Senior Fellow, Servers and Infrastructure Systems
Dell EMC

Jimmy D. Pike is a Senior Vice President and Senior Fellow at Dell EMC and serves as a senior system architect and technologist in the office of Dell’s Server and Infrastructure System’s CTO. In addition to his duties as an “at large” technologist, he focuses on high-performance computing, machine learning, and edge computing.

A longtime industry figure with more than 50 patents, Jimmy has served in various executive and technology roles:
• An analyst at the analyst firm of Moor Insights & Strategy
• Chief Architect of Dell’s Enterprise Solutions group and HPC lead technologist
• Chief Architect and Technologist for Dell’s Data Center group.

Jimmy has as also served in various other leadership roles at Intel, AT&T, NCR, and Harris Corporation.

Author:

Sailesh Kottapalli

Senior Fellow, Chief Architect, Datacenter Processor Architecture
Intel

Sailesh Kottapalli is an Intel Senior Fellow and the chief architect of data center processor architecture in the Silicon Engineering Group. He leads a team of architects responsible for developing the architecture of Intel® Xeon® and Intel® Atom™ server product lines as well as the overall compute solutions strategy for datacenter segment. He also leads a cross-organizations effort in driving the technology leadership on the Interconnect pillar. Kottapalli joined Intel in 1996 as a design engineer working on the first Intel® Itanium® processor, then code-named “Merced.” Subsequently, he served as lead engineer for several Intel Itanium and Intel Xeon processor evaluations, and more recently, as lead architect for a series of Intel Xeon server processors. His work in this area earned Kottapalli an Intel Achievement Award for delivering record generational performance improvements in a high-end server product. An active participant in industry and internal conferences, Kottapalli has authored or co-authored several published technical papers, delivered talks and taken part in roundtables and panel discussions. He has also been granted approximately three dozen patents in processor architecture, with additional patents pending. Kottapalli holds a bachelor’s degree in computer science from Andhra University in India and a master’s degree in computer engineering from Virginia Tech.

2021 Speakers

 

Aart de Geus

Chairman & Co-CEO
Synopsys

Since co-founding Synopsys in 1986, Aart has expanded Synopsys from a start-up synthesis company to a global high-tech leader. He has long been considered one of the world's leading experts on logic synthesis and simulation, and frequently keynotes major conferences in electronics and design automation. Dr. de Geus has been widely recognized for his technical, business, and community achievements with multiple awards including Electronic Business Magazine's "CEO of the Year," the IEEE Robert N.

Aart de Geus

Chairman & Co-CEO
Synopsys

Aart de Geus

Chairman & Co-CEO
Synopsys

Since co-founding Synopsys in 1986, Aart has expanded Synopsys from a start-up synthesis company to a global high-tech leader. He has long been considered one of the world's leading experts on logic synthesis and simulation, and frequently keynotes major conferences in electronics and design automation. Dr. de Geus has been widely recognized for his technical, business, and community achievements with multiple awards including Electronic Business Magazine's "CEO of the Year," the IEEE Robert N. Noyce Medal, the GSA Morris Chang Exemplary Leadership Award, the Silicon Valley Engineering Council Hall of Fame Award, and the SVLG Lifetime Achievement Award. He serves on the Boards of the Silicon Valley Leadership Group, Applied Materials, the Global Semiconductor Alliance, and the Electronic System Design Alliance.

 

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.

 

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.

 

Norman Jouppi

Distinguished Engineer
Google

Norman P. Jouppi is a Distinguished Hardware Engineer at Google. He is known for his innovations in computer memory systems, including stream prefetch buffers, victim caching, multi-level exclusive caching, and development of the CACTI tool for modeling memory timing, area, and power. He has been the principal architect and lead designer of several microprocessors, contributed to the architecture and design of graphics accelerators, and extensively researched video, audio, and physical telepresence.

Norman Jouppi

Distinguished Engineer
Google

Norman Jouppi

Distinguished Engineer
Google

Norman P. Jouppi is a Distinguished Hardware Engineer at Google. He is known for his innovations in computer memory systems, including stream prefetch buffers, victim caching, multi-level exclusive caching, and development of the CACTI tool for modeling memory timing, area, and power. He has been the principal architect and lead designer of several microprocessors, contributed to the architecture and design of graphics accelerators, and extensively researched video, audio, and physical telepresence. His innovations in microprocessor design have been adopted in many high-performance microprocessors. His recent research has investigated the impact of emerging technologies such as non-volatile memory and nanophotonics on computer systems.

Jouppi received his Ph.D. in electrical engineering from Stanford University in 1984, and a master of science in electrical engineering from Northwestern University in 1980. While at Stanford, he was one of the principal architects and designers of the MIPS microprocessor, and developed techniques for MOS VLSI timing verification. He joined HP in 2002 through its merger with Compaq, where he was a Staff Fellow at Compaq’s Western Research Laboratory (formerly DECWRL) in Palo Alto, California. In 2010, he was named an HP Senior Fellow. From 1984 through 1996 he was a consulting assistant/associate professor in the electrical engineering department at Stanford University where he taught courses in computer architecture, VLSI, and circuit design.

He currently serves on the research highlights editorial board of Communications of the ACM. Norm holds more than 75 U.S. patents, with one Compaq Key Patent award. He has published over 125 technical papers, with several best paper awards and two International Symposium on Computer Architecture (ISCA) Influential Paper Awards. In 2013, he received the ACM SIGARCH Distinguished Service Award. He is a Fellow of the ACM and the IEEE, and a member of the National Academy of Engineering.

 

Lip-Bu Tan

CEO: Cadence Design Systems & President: Walden International
Cadence Design Systems

Mr. Lip-Bu Tan is a Co-Founder, Partner, Managing Director, and Chairman of Walden International. Mr. Tan serves as the Chairman on the Board of SambaNova Systems, Inc., and has been the 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.

Lip-Bu Tan

CEO: Cadence Design Systems & President: Walden International
Cadence Design Systems

Lip-Bu Tan

CEO: Cadence Design Systems & President: Walden International
Cadence Design Systems

Mr. Lip-Bu Tan is a Co-Founder, Partner, Managing Director, and Chairman of Walden International. Mr. Tan serves as the Chairman on the Board of SambaNova Systems, Inc., and has been the 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. 

 

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.

 

Karl Freund

Founder & Principal Analyst
Cambrian AI Research

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

Founder & Principal Analyst
Cambrian AI Research

Karl Freund

Founder & Principal Analyst
Cambrian AI Research

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).

 

 

Mikhail Smelyanskiy

Director, AI System Co-Design Group
Facebook

Misha Smelyanskiy is a Director of AI System Co-Design Group at Facebook. The group delivers innovative, high-performance optimizations of key AI services on existing platforms, as well as co-designs future AI systems at datacenter scale.  Before joining Facebook in early 2017, Misha spent 13 years at Intel. First at Intel Parallel Computing Labs, leading application-driven parallel architecture research, which resulted in significant contribution to the definition of Intel first Many-Integrated Core architecture.

Mikhail Smelyanskiy

Director, AI System Co-Design Group
Facebook

Mikhail Smelyanskiy

Director, AI System Co-Design Group
Facebook

Misha Smelyanskiy is a Director of AI System Co-Design Group at Facebook. The group delivers innovative, high-performance optimizations of key AI services on existing platforms, as well as co-designs future AI systems at datacenter scale.  Before joining Facebook in early 2017, Misha spent 13 years at Intel. First at Intel Parallel Computing Labs, leading application-driven parallel architecture research, which resulted in significant contribution to the definition of Intel first Many-Integrated Core architecture. And later as the director of Exascale SW/HW co-design group, working with external HPC and Machine Learning customers to derive system-level hardware. Misha has published 50+ papers in top-tier architecture, supercomputing and ML conferences and journals. Misha won Green500 competition in 2012, developed world fastest distributed quantum system simulator in 2016, and was 2014 Gordon Bell Award Finalist.

 

Rashmi Gopinath

General Partner
B Capital Group

Rashmi Gopinath

General Partner
B Capital Group

Rashmi Gopinath

General Partner
B Capital Group
 

Mark Maybury

Chief Technology Officer
Stanley Black & Decker

MARK MAYBURY is Stanley Black & Decker’s first Chief Technology Officer. In this position, Mark manages a team across the company's businesses and functions and advises on technological threats and opportunities, as well as provides access to all elements of the global technology ecosystem.

Mark Maybury

Chief Technology Officer
Stanley Black & Decker

Mark Maybury

Chief Technology Officer
Stanley Black & Decker

MARK MAYBURY is Stanley Black & Decker’s first Chief Technology Officer. In this position, Mark manages a team across the company's businesses and functions and advises on technological threats and opportunities, as well as provides access to all elements of the global technology ecosystem.

Prior to joining Stanley Black & Decker, Mark spent 27 years at The MITRE Corporation, where he held a variety of strategic technology roles. Most recently he served as Vice President of Intelligence Portfolios and prior to that was MITRE's Vice President and Chief Security Officer and Director of the National Cybersecurity Federally Funded Research and Development Center (FFRDC). Before joining MITRE, Mark served as a U.S. Air Force officer. He later returned to the Air Force as Chief Scientist from 2010 to 2013 where he advised the Chief of Staff and Secretary of the Air Force on a wide range of scientific and technical issues.

He is currently a board member on the Defense Science Board, Mark Twain House and Museum Board and the Connecticut Science Center Board and previously served on multiple years of service on the Air Force Scientific Advisory Board and the Homeland Security Science and Technology Advisory committee. He is a fellow in both the IEEE and the Association for the Advancement of Artificial Intelligence.

Mark earned a bachelor's degree in mathematics from College of the Holy Cross (Fenwick Scholar, valedictorian), a master's degree in computer speech and language processing from Cambridge University, England (Rotary Scholar), a Master of Business Administration from Rensselaer Polytechnic Institute, and a doctoral degree in artificial intelligence also from Cambridge University.

 

Mike Henry

Co-Founder & CEO
Mythic

Mike Henry

Co-Founder & CEO
Mythic

Mike Henry

Co-Founder & CEO
Mythic
 

Paolo Faraboschi

Vice President and HPE Fellow; Director, AI Research Lab, HP Labs
HPE

Paolo Faraboschi leads research in the Systems Research Lab at HP Labs. His technical interests lie at the intersection of hardware and software and include low power servers and systems-on-a-chip, workload-optimized, highly-parallel and distributed systems, ILP and VLIW processor architectures, compilers, and embedded systems. Faraboschi’s current research focuses on next-generation data-centric systems.

Paolo Faraboschi

Vice President and HPE Fellow; Director, AI Research Lab, HP Labs
HPE

Paolo Faraboschi

Vice President and HPE Fellow; Director, AI Research Lab, HP Labs
HPE

Paolo Faraboschi leads research in the Systems Research Lab at HP Labs. His technical interests lie at the intersection of hardware and software and include low power servers and systems-on-a-chip, workload-optimized, highly-parallel and distributed systems, ILP and VLIW processor architectures, compilers, and embedded systems. Faraboschi’s current research focuses on next-generation data-centric systems. His work on system-level integration for low energy servers and scale-out architectures is a key element of the HP Moonshot System, HP’s new class of software-defined servers built to address the energy efficiency challenges of hyperscale datacenters.

 Previously, Faraboschi led HP Labs research in system-level modeling and simulation, an effort that resulted in the COTSon open-source simulation platform. He is also the founder of HP’s Barcelona Research Office, which pioneered research in contentprocessing systems.. Before that, Faraboschi was technical lead for the Custom-Fit Processors Project at HP Labs, Cambridge (MA), building highly-optimized, softwaredefined CPU cores. In that role, he was the principal architect of the instruction set architecture for the Lx/ST200 family of VLIW embedded processor cores (developed with STMicroelectronics) which have been used for over a decade in a variety of audio, video, and imaging consumer products, including HP's printers and scanners.

 A regular keynote speaker at conferences and industry events, Faraboschi is an IEEE Fellow for "contributions to embedded processor architecture & system-on-chip technology." An active member of the computer architecture community, he also serves regularly on IEEE program and organizational committees, was guest editor of the 2012 edition of IEEE Micro TopPicks, and is co-author (with Josh Fisher and Cliff Young) of the book, “Embedded Computing: a VLIW Approach to Architecture, Compilers and Tools.” A co-holder of 24 granted patents, several other patent applications, and co-author of over 65 scientific publications, Faraboschi received his M.S. and Ph.D. (Dottora)

 

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.

 

Dheevatsa Mudigere

Research Scientist
Facebook

Dheevatsa Mudigere

Research Scientist
Facebook

Dheevatsa Mudigere

Research Scientist
Facebook
 

Yvonne Lutsch

Investment Principal
Bosch Ventures

Yvonne Lutsch

Investment Principal
Bosch Ventures

Yvonne Lutsch

Investment Principal
Bosch Ventures
 

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.

 

Paul Lewis

CTO
Pythian

Paul is CTO at Pythian.

Paul Lewis

CTO
Pythian

Paul Lewis

CTO
Pythian

Paul is CTO at Pythian. Prior to Pythian he was Global CTO at Hitachi Vantara responsible for the leading technology evangelism, client executive advocacy, and external delivery of the Hitachi vision and strategy especially related to Digital Transformation and Social Innovation.  For the past 25+ years, Paul has focused on technology R&D and innovation, IT/business strategic plans and governance, security and risk management, software and infrastructure architecture as the CTO and Senior Executive Technologist of several financial services organizations from start-ups to large business services providers.

 

Vanessa Eriksson

SVP & Chief Digital Officer
Zenseact

Vanessa is currently SVP, Chief Digital Officer at Zenseact with the mission of bringing the company even further into the digital age. Managing petabytes of data as an asset while simultaneously leading the IT backbone, in pursuing Autonomous Driving. She is also a Member of the Board at Fidesmo and has been the Chairwoman of PwC’s CDO Advisory Board in 2017/18 and on Gartner’s EMEA and The America’s Data & CDO Advisory Boards between 2012 & 2017. A professional and experienced public speaker, Vanessa holds a proven track record in influencing key decision makers.

Vanessa Eriksson

SVP & Chief Digital Officer
Zenseact

Vanessa Eriksson

SVP & Chief Digital Officer
Zenseact

Vanessa is currently SVP, Chief Digital Officer at Zenseact with the mission of bringing the company even further into the digital age. Managing petabytes of data as an asset while simultaneously leading the IT backbone, in pursuing Autonomous Driving. She is also a Member of the Board at Fidesmo and has been the Chairwoman of PwC’s CDO Advisory Board in 2017/18 and on Gartner’s EMEA and The America’s Data & CDO Advisory Boards between 2012 & 2017. A professional and experienced public speaker, Vanessa holds a proven track record in influencing key decision makers. Result oriented, her leadership skills include motivating teams, relationship building and integrity. A mother of 3 girls, Vanessa very feels strongly about encouraging Girls in Tech and has effectively launched a GiT event in 2017 with 4 large companies to promote her cause. Women in Leadership and Gender Diversity are topics that are close to her.

 

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

 

 

Jianpeng Xu

Staff Data Scientist
Walmart Labs

Jianpeng Xu

Staff Data Scientist
Walmart Labs

Jianpeng Xu

Staff Data Scientist
Walmart Labs
 

Krishna Sankar

Distinguished Engineer, AI
US Bank

Krishna Sankar

Distinguished Engineer, AI
US Bank

Krishna Sankar

Distinguished Engineer, AI
US Bank
 

Andrei Lopatenko

VP, Engineering & Head of Search and Conversational AI
Zillow

As Vice President of Engineering at Zillow Group, Andrei leads the teams responsible for the company’s search and discovery engines, including search science, development, infrastructure, and operations. As part of this role, he heads Zillow Group’s conversational AI efforts, which consist of initiatives around natural language processing platforms, speech analytics, call center AI, and conversational interfaces, with the goal of improving Zillow’s business and customer services using natural language processing and speech understanding. 

Andrei Lopatenko

VP, Engineering & Head of Search and Conversational AI
Zillow

Andrei Lopatenko

VP, Engineering & Head of Search and Conversational AI
Zillow

As Vice President of Engineering at Zillow Group, Andrei leads the teams responsible for the company’s search and discovery engines, including search science, development, infrastructure, and operations. As part of this role, he heads Zillow Group’s conversational AI efforts, which consist of initiatives around natural language processing platforms, speech analytics, call center AI, and conversational interfaces, with the goal of improving Zillow’s business and customer services using natural language processing and speech understanding. 

Before joining Zillow in 2019, Andrei led search science teams within eBay and Walmart. Prior to Walmart he worked at Google and Apple, serving as a core contributor to products like Google web search, Apple Maps, Apple’s AppStore, and iTunes search engines. He previously led engineering efforts for Recruit Holdings’ AI Lab. He sat on the advisory board of Ozlo, a Conversational AI startup acquired by Facebook in 2017. 

Andrei earned a Doctor of Philosophy in Computer Science from The University of Manchester, United Kingdom and Master of Science Degree from the Moscow Institute of Physics and Technology.

 

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.

 

Sanjive Agarwala

Corporate Vice President and General Manager, IP Group
Cadence

Sanjive Agarwala

Corporate Vice President and General Manager, IP Group
Cadence

Sanjive Agarwala

Corporate Vice President and General Manager, IP Group
Cadence
 

Daniel Wu

Head of AI & Machine Learning, Commercial Banking
JPMorgan Chase

Daniel Wu

Head of AI & Machine Learning, Commercial Banking
JPMorgan Chase

Daniel Wu

Head of AI & Machine Learning, Commercial Banking
JPMorgan Chase
 

Shreyansh Daftry

Robotics Technologist
NASA

Shreyansh Daftry is a researcher, technologist and consultant in the fields of Artificial Intelligence (AI) and Space Technology. He is interested in pushing the boundaries of technology with innovation in the fields of Computer Vision, Machine Learning and Autonomous Robotics - Drones, Self-Driving (or Flying) Cars, etc. His lifelong ambition is to promote both the exploration of space and improvement of sustainable living on Earth.

Shreyansh Daftry

Robotics Technologist
NASA

Shreyansh Daftry

Robotics Technologist
NASA

Shreyansh Daftry is a researcher, technologist and consultant in the fields of Artificial Intelligence (AI) and Space Technology. He is interested in pushing the boundaries of technology with innovation in the fields of Computer Vision, Machine Learning and Autonomous Robotics - Drones, Self-Driving (or Flying) Cars, etc. His lifelong ambition is to promote both the exploration of space and improvement of sustainable living on Earth.

Shreyansh received his M.S. degree in AI and Robotics from School of Computer Science, Carnegie Mellon University USA in 2016, and his B.S. degree in Electronics and Communication Engineering in 2013. Currently, he is a Research Scientist at NASA Jet Propulsion Laboratory (JPL) in California, working on AI technologies for robotic exploration of Earth, Mars and beyond!

 

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. 

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. 

Eitan Michael Azoff, PhD, MSc, BEng.

HQ’d in Kisaco Research’s London office, Michael's current focus is launching Kisaco Research vendor product comparison reports with the new Kisaco Leadership Chart (KLC) analyst chart. The first KLC is also the first analyst chart in the AI chip industry, with 16 vendors having participated in the research.

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 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 Michael 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 within the company.

My analyst coverage areas at KR Analysis

My first research project at KR was to create the first analyst comparison chart for AI chips. We invited AI chip producers to participate and were fortunate to have 16 vendors participate from across the globe: USA, UK, France, and China, and a mix of established players (Nvidia, Imagination, Intel, and Xilinx, to startups.

Our analysis showed that the market naturally fell into three areas of hot activity:

▪ Data centers and high-performance computing environments (HPC): here large boxes are installed and the aim is to achieve maximum performance for training and inferencing AI systems. The buyers are cloud hyperscalars, national research labs and agencies, and some large enterprises with big investments in AI.

▪ Small edge: the opposite end of the spectrum, building the smallest useful chip possible to sell as cheap as possible and embed in edge devices. AI is inferencing here.

▪ Automotive: an active industry in AI but highly regulated creating hurdles and technology adoption cadences that can be challenging for suppliers. AI is mainly inferencing here (for systems installed in vehicles).

We produced four Kisaco Leadership Charts out of this research.

We are also researching the machine learning (ML) software tools space, and our first report here is ML Lifecycle Solutions. The biggest challenge for enterprises is taking the research AI systems developed by their data scientist and deploying these into production at scale. Using a host of open source tools to achieve this is possible but time consuming to build and maintain, as well as prone to breakdown. This is why the ML lifecycle solution space exists.

Finally, in our first batch of KR Analysis reports we produced the KLC on engineering application lifecycle management (ALM) solutions. While ALM has been in existence as a distinct practice since KR Analysis and Michael Azoff introduction © Kisaco Research. All rights reserved. Unauthorized reproduction prohibited. 4 around 2003, it continues to evolve. We found the engineering and highly regulated industries relying on engineering and compliance oriented ALM to help manage risk and complexity.

 

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.

2021 Agenda at a glance

AI Hardware Summit Sample Agenda 2021

AUDIENCE BREAKDOWN

AI Hardware Summit Audience Breakdown

Past attendees include: 

2021 Partners

Headline Partner

Platinum Partner

Gold Partners

Event Partners

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].

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2021 Agenda

Please complete your details to receive a copy of the 2021 Agenda at a Glance. The final agenda is due to be released in the coming weeks.

AI Hardware Summit Sample Agenda 2021

Watch video highligts from the AI Hardware Summit 2019: 

Download Agenda at a Glance

Interested in a media partner pass?

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. We want to work with you!

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Highlights

 

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TESTIMONIALS

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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
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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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Ticket price will increase in

Thursday, April 1, 2021 to Friday, June 25, 2021
In-Person & Virtual: Enterprise End Users
Super Early Bird: $999, Standard Rate $1,599
Book by June 25th to save $800
This pass is for anyone across; Automotive, BFSI, Pharma, Consumer Electronics, Retail
2 Day In-person conference pass
Access to all virtual and on-demand content
In-Person networking opportunities and virtual networking platform
To increase your brand presence, contact Ben Edwards, [email protected]
Thursday, April 1, 2021 to Friday, June 25, 2021
In-Person & Virtual: Technology Ecosystem
Super Early Bird: $1,299, Standard Rate $1,899
Book by June 25th to save $600!
This pass is for anyone across; Chips, Systems, Software & Services
2 Day In-Person Conference Pass
Access to all virtual and on-demand content
In-Person networking opportunities and virtual networking platform
To increase your brand presence, contact Ben Edwards, [email protected]
Thursday, April 1, 2021 to Friday, June 25, 2021
In-Person & Virtual: Institutional Investors
Super Early Bird: $1,999, Standard Rate $2,399
Book by June 25th to save $400!
2 Day Conference Pass
Access to all virtual and on-demand content
In-Person networking opportunities and virtual networking platform
To increase your brand presence, contact Ben Edwards, [email protected]
Thursday, April 1, 2021 to Friday, September 17, 2021
In-Person & Virtual: Research Institutions & National Labs
$999
Available to members of public research institutions and national labs
2 Day In-Person Conference Pass
Access to all virtual and on-demand content
In-Person networking opportunities and virtual networking platform
To increase your brand presence, contact Ben Edwards, [email protected]
Thursday, April 1, 2021 to Friday, June 25, 2021
Virtual only
Super Early Bird Rate $499, Standard Rate $899
Book by June 25th to save $400!
Access to all virtual content on Day Zero & Day Three of the event
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VENUE

The 2021 AI Hardware Summit will be returning the Computer History Museum. Aligned to social distancing rules and regulations, there will be a reduced capacity and we highly expect in person tickets to sell out way in advance of the summit. Book early to avoid disappointment.

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Returning Safely Measures

Whether sponsors, speakers or attendees, our customers attend Kisaco Research events to connect, learn and innovate to know more and do business. It is our commitment that as we return to in-person events, they can do this effectively, safely and with confidence.

All in-person Kisaco Research events will prioritize the health and safety of colleagues and customers and, in the first instance, will be run in accordance with official government and local authority guidance, as well as any venue or location-specific regulations.

Kisaco Research is committed to following the Association of Event Organisers All Secure Standard, which has been approved by by UK Government.

Download the Kisaco Research Returning Safely Measures 

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Other events you might be interested in:

Edge AI Summit 2021

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