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Headline Partner Platinum Partners Headline Media Partner:eFPGA + AI ®
September 17 – 18, 2019
HIGHLIGHTS 2019
Keynotes from:
John L.Hennessy Chairman Alphabet Inc.
Lip-Bu Tan CEO, Cadence Design Systems Chairman, Walden International
Naveen Rao CVP & GM, AI Products Group Intel
Computer History Museum, Mountain View, CA www.aihardwaresummit.com
200+ companies
550+ attendees
“If you’re interested in AI Hardware and all of the new AI accelerators coming into play,
there really is no better place to come.”
Steve Scott, CTO, Cray
John Hennessy, Alphabet Inc. Chairman & Turing Award Laureate shared a luminary keynote…
“The machine-learning revolution has reopened the opportunity for new architectures…let a thousand flowers bloom,” emphasized the Godfather of Silicon Valley in his energetic opening address to an audience of 500+ AI & hardware leaders.
“The winners will be companies that strike a compelling balance of delivering high performance on specific workloads while being able to run software for other jobs, said Hennessy. They will also solve specific problems like handling both dense and sparse linear algebra well.”
Source: Rick Merritt’s post-show write up in EE Journal
The AI Hardware Summit and John Hennessy also announced the establishment the ‘John Hennessy Support Grant’, taken from the profits of the event, that was in its inaugural year awarded to Second Harvest of Silicon Valley. The $20,000 donation provided 40,000 meals for low-income families & individuals in the Bay Area.
See a copy of John Hennessy’s slide deck here.
This 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
KEY TAKEAWAYS
AI HARDWARE IS HARDER THAN IT LOOKS…
2019 did not deliver a new generation AI silicon as anticipated, with many start-ups coming up against
roadblocks and challenges that have delayed the delivery & deployment of new competitive products that
could supersede current market-leading hardware such as NVIDIA’s V100 for training and T4 for inference.
Signs look good, however, for an action-packed late 2020 & early 2021 that could see the ascension of a
number of new AI chips & systems. Flagging datacenter sales in 2019 from both Intel & NVIDIA could be
indicative of cloud players waiting to invest in new generation hardware (from both start-ups & incumbents).
Read more about this:
• Post-show write up written by analyst Karl Freund in Forbes
• Post-show investor-focused report written by analyst Brett Simpson at Arete Research
• Article by Kevin Krewell on EETimes
“I think this is a great collection of people who
are interested in pushing the field forward,
from the hardware and fundamental substrate
perspective.”
Naveen Rao, CVP & GM, Artificial Intelligence Products Group, Intel
The size and complexity of models is outpacing the growth in AI acceleration that we,
the industry, have achieved over the last couple of years. Currently only hyperscale
companies like ours can make this up through scaling the hardware (thousands of
systems) and by dedicating networking equipment that is commensurably power
hungry and expensive. There is no sign that the brute force era is ending anytime soon,
so we continue to invest in chips and systems which can handle mega models and
reduce overall cost.”
Marc Tremblay, Distinguished Engineer, Microsoft (AI Hardware Summit Advisory Board Member)
Intel & Qualcomm showed silicon on stage, and Habana at their booth…
Developments in neural networks & algorithms are still outrunning advances in hardware…
Attendees were given a first look at Qualcomm’s AI Cloud 100 by Ziad Asghar, VP of Product Management, while Naveen Rao, CVP & GM of Intel’s AI Products Group held up the Intel NNP Inference chip during his closing keynote. Meanwhile at their booth, Israeli AI hardware start up Habana Labs, who launched their company at the inaugural AI Hardware Summit in 2018, demoed hardware and provided benchmarking numbers.
As recently as last year’s AI Hardware Summit, ResNet-50 was the go-to benchmarking network to assess new hardware capabilities. Since then, Google’s state-of-the-art NLP algorithm, BERT, has set the bar almost 100x higher for compute requirements for training, demonstrating that AI’s insatiable appetite for compute is going nowhere. Any serious players in AI silicon will have considered the robustness of their hardware to future algorithmic developments.
We are sampling a few vendors’
upcoming products, and one issue
is using their software correctly…it
takes a long time to vet hardware
and a lot of time to bring new
software into our ecosystem.”
Lingjie Xu, Director of Applied AI Architecture, Alibaba Cloud
A lot of new accelerators are
coming next year or after, each
for a different workload, but we’re
limited by the resources we have
to evaluate them. The lack of a
mature software stack is a limiter
for deploying new hardware.”
Samar Dalal, Senior Manager of Architecture and Design, Uber
The software stack is king, and must not be too esoteric or convoluted…
Fungibility is extremely important in TCO for cloud players…
A major barrier to the adoption of new AI silicon by customers is the accessibility and ease of deployment of the software ecosystem. Semiconductor incumbents offer not only leading silicon products, but mature software ecosystems like NVIDIA’s CUDA.
Source: Rick Merritt’s post-show write up in EE Journal
It is increasingly clear, as alluded to in John Hennessy’s keynotes, that the fungibility of more general-purpose hardware used in AI acceleration today is a key hurdle for AI hardware vendors. Karl Freund, Senior HPC & AI analyst at Moor Insights & Strategy reminded the audience that the majority of inference workloads across data centers & devices still run on CPUs. At hyperscale, where infrastructure investments run into the billions of dollars, the adaptability of hardware infra to diverse workloads is something that will have to be considered by players developing highly specialized accelerators.
To give the many chips a
single socket, Whitney Zhao,
a hardware engineer in
Facebook’s infrastructure
group, led the design of the
open-source accelerator
module (called the OAM), as
well as a motherboard that
can accommodate a handful
of them. The next step for
her group is to design or
specify “standard tooling and
utilities to do management and
monitoring” for the systems,
Zhao said on the panel.”
The solving of the AI compute challenge is exacerbating memory bottlenecks…
Open source solutions & benchmarking suites will promote the adoption of start up devices…
Steven Woo, VP, Enterprise Solutions Technology & Distinguished Inventor at Rambus identified that the next arena for innovation in hardware as a result of AI is sure to be memory.
The summit discussed a number of the key innovations in areas such as HBM & PIM. Read more about memory for inference devices from Flex Logix CEO, Geoff Tate, in this post-event Forbes write-up by analyst Tom Coughlin.
Initiatives are in place across the AI hardware landscape to increase the viability of start up products – including benchmarking suites MLPerf & AIMatrix and open source modules for new accelerators.
Source: Rick Merritt’s post-show write up in EE Journal
2019’S DISTINGUISHED SPEAKERS
JOHN L. HENNESSY
Chairman, Alphabet, Inc
NAVEEN RAO
VP & GM, Artificial, Intelligence Products Group, Intel
LIP BU-TAN
CEO, Cadence Design Systems
Chairman, Walden International
Ian BuckVP / General Manager, Tesla Data Center Business Nvidia
Victoria RegeHead of Strategic Partnerships Graphcore
Jonathan RossCo-Founder & CEOGroq
Mikhail Smeliyanskiy Technical Lead & Manager, AI System Co-Design GroupFacebook
Andrew Feldman Co-Founder & CEO Cerebras Systems
Cheng WangCo-Founder & SVP, Architecture & Engineering Flex Logix
Mike B. HenryFounder and CEO Mythic
Eric Chung Principal Researcher & Manager Microsoft
Kunle OlukotunCo-founder and Chief TechnologistSambaNova Systems
Jimmy Pike SVP & Senior Fellow, Servers and Infrastructure Systems Dell MC
Gregor Stewart VP, Data Science Medallia
Brett SimpsonPartner and Co-FounderArete Research
Sumit GuptaVP, AI, Machine Learning, & HPC IBM
Junli GuVice President of Autonomous Driving Xiaopeng Motors
Karl FreundSenior Analyst, Machine Learning & HPC Moor Insights & Strategy
Hari KannanTechnical Director of Enginerring Pure Storage
Yichen ShenCo-Founder & CEOl Lightelligence
Thomas AndersenHead of Machine Learning and AI Design Group Synopsys
2019’S DISTINGUISHED SPEAKERS CONTINUED
Justin ButlerPartner Eclipse Ventures
Cliff YoungSoftware Engineer Google Brain
Samal Dalal Senior Manager (TLM), Architecture & Design Uber
Yvonne LutschInvestment Principal Bosch Ventures
Rashmi GopinathPartner M12 (Microsoft Ventures)
Michael P. Stewart, Ph.D.Investment DirectorApplied Ventures
Ziad AsgharSnapdragon Roadmap Planning and AI, XR & Competitive Strategy Qualcomm
Albert MeixnerHead of Software InfrastructureNuro
Lingjie XuDirector, Applied AI ArchitectureAlibaba Inc.
David KanterInference Co-ChairML Perf
2019’S DISTINGUISHED SPEAKERS CONTINUED
Ching Hu Staff System Architect Argo AI
Gordon Hirsch-WilsonCo-Founder & CEORAIN Neuromorphics
Patrick Soheili VP Corporate Development & Head of AI Strategy eSilicon
Dr. Prith Banerjee Chief Technical Officer ANSYS
Eitan Medina Chief Business Officer Habana Labs
Eric Baissus CEO Kalray
Ingolf Held CEO GrAI Matter Labs
Steven Woo Fellow & Distinguished Inventor Rambus
Bryan Bowyer Director of Engineering Mentor, A Siemens Business
Whitney Zhao Hardware Engineer Facebook
Robert Gendron CVP, Product Management & Technical Resources Vicor
Moe Tanabian CVP, Product GM, Intelligent Devices Microsoft
Justin Potuznik Senior Principal Engineer & Architecture Lead Optum Technology
Chandu Thekkath Distinguished Engineer Microsoft
Sylvain Dubois VP, Business Development & Marketing Crossbar
Paul Brasnett Technical Business Development Director Imagination Technologies
Chris Eliasmith Co-CEO Applied Brain Research
George MinassianCo-Founder & CEOCrossbar
2019 ATTENDEES
eFPGA + AI ®
AUDIENCE
BREAKDOWN
Must Attend Category • AI Chip Start Ups
• Large Semiconductor
• EDA & IP Vendors
• Hyperscalers & Data Centers
• Device Manufacturers
• Server Vendors
• Autonomous Vehicle Companies
• Robotics
• Government Defence & Aerospace
• Enterprise
• Pharma
• Retail
• eCommerce
• Media
• AI Research Institutions
• Investors
• Press & Analysts
Job Function Job Seniority
6% Analyst
8% Architect
20% Engineer
15% Senior Mgmt
11% BD/Marketing
33% Strategy
3% Media
4% Investor
15% C-Level/Founder/Senior Exec
17% VP/Head of Dept
15% Sr. Director/Director
17% Sr. Manager/Manager
12% Technical Lead
12% Non-management
4% Media/Market Analysts
8% Investors/Investment Analysts
AUDIENCE INTERACTION
KEY TOPICS DISCUSSED AT THE SUMMIT HOW LONG WILL THEY BE WAITING?
We ran an on-site poll of the audience asking when they expected the majority of start up AI silicon to become commercially available.
16% 2020
34% 2021
39% 2022
11% 2023 onwards
WHAT OUR 2019 ATTENDEES THINK
“The AI Hardware Summit seems to be the best forum for serious AI hardware news and discussions among real influencers in the industry. This is one event where the level of technical know-how is at the right
“level” for decision making in the AI data center--where the presentations, panels, discussion and networking opportunities are highly relevant.”
Susan Lansing Marketing Leadership Habana Labs
“The AI Hardware Summit is one of the most unique conferences in the industry in the way that it maintains a strong technical depth on the talks and attracts industry leaders, from the big companies to up and coming startups. It is the only place where you can make the right business connections and learn from luminaries in the AI hardware space.”
Zoe Cayetano Intel
“This year’s AI Hardware Summit had a rock star lineup of speakers, and included a number of first ever disclosures of products and technologies. This is becoming a can’t miss conference for the industry.”
Ty Garibay VP Engineering Mythic
“This event has quickly emerged as THE conference for all things fast and efficient for processing deep neural networks. The content is a nice blend of technology, solutions, and company strategies.”
Karl Freund Senior Analyst Machine Learning Moor Insights & Strategy
“Stellar keynote, interesting talks on “big problems” like throughput, AI model flexibility and energy consumption. Most of the relevant hardware startups were in attendance or presented, including a few new ones that I hadn’t heard of! A good lineup.”
Rick Calle Artificial Intelligence, BD Microsoft
“I loved the targeted approach for an event like this. I thought the caliber of attendees was appropriate for the event. It offered a great chance to network with industry leaders.”
Matthew Burns Technical Marketing Manager Samtec
92% of attendees said the event met their objectives
90% of attendees rated the speakers line-up as excellent or very good
WHAT OUR 2019 ATTENDEES THINK
“Great speakers, good overview of the current state of the AI Hardware market, good opportunity for networking.”
Prianka Srinivasan Associate Director, Technology Thought Leadership EY
“Presently the best event in the world for gathering all the developers of ML technologies.”
Andreas Papaliolios Managing Director ExecuChip
“Great networking with innovative startups pushing the boundaries of innovation.”
Paresh Kharya Product Marketing NVIDIA
“The AI Hardware Summit is an excellent place to hear from the smartest minds in the industry and network with leading practitioners.”
Garrett Wong Investments Hewlett Packard Pathfinder
“The AI Hardware Summit reinforces that our innovations and developments in Compute and AI are just beginning. With emergence in AI Generative Design, Neuromorphic processors, Optical processors and 3nm foundry capabilities it’s clearly ‘Still Day One’.”
Jon Battles Director, Robotics Amazon
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THE INDUSTRY EVENT FOR THE AI CHIP INDUSTY
September 17 – 18, 2019 Computer History
Museum, CA
www.aihardwaresummit.com
+44 (0)20 3696 2920
REGISTER NOW
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THE INDUSTRY EVENT FOR THE AI CHIP INDUSTY
September 17 – 18, 2019 Computer History
Museum, CA
www.aihardwaresummit.com
+44 (0)20 3696 2920
REGISTER NOW
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As the only event dedicated to AI Hardware, this summit offers attendees, sponsors, and event partners access to representatives of the entire AI hardware ecosystem, delivering unique business development opportunities. Contact our team to position your organization as a leader in this emerging space, and leverage bespoke business development and marketing packages.
We have a range of sponsorship packages available but are we are dedicated to understanding your objectives. Talk to us to discuss what you want to achieve and we can build a bespoke package to meet your needs.
Private networking functions and thought leadership opportunities also available.For further details or to create a tailored solution, please contact:
Ben Edwards, Commercial Director [email protected], + 44 207 897 6805
*Range of options available
Hyper Scalers
Systems Vendors
Device Manufacturers
EnterpriseAutonomous Vehicles
Robotics
Investors
Chip Companies
Meet 500+ key opinion leaders from:
PARTNERING OPPORTUNITIES FOR 2020
THE INDUSTRY EVENT FOR THE AI CHIP INDUSTY
September 17 – 18, 2019 Computer History
Museum, CA
www.aihardwaresummit.com
+44 (0)20 3696 2920
REGISTER NOW
Save the dateSeptember 29-30, 2020 Computer History Museum
Thank you for your interest in attending the AI Hardware SummitTo register to attend 2020:Visit: www.aihardwaresummit.comCall: +44 (0)20 3696 2920Email: [email protected]
March 10-11, 2020 Munich, Germany
www.aihardwaresummiteu.com
April 21-22, 2020 Silicon Valley
www.braininspiredcomputingcongress.com
November 18-19 2020 Silicon Valley
www.edgeaisummit.com
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