AI Hardware Summit | Kisaco Research
The industry event for the AI chip ecosystem
Computer History Museum, Mountain View, CA
18-19 September, 2018
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The Audience
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The Speakers

 

Andrew Feldman

Co-Founder & CEO
Cerebras Systems

Andrew Feldman

Co-Founder & CEO
Cerebras Systems
 

Chris Nicol

Co-Founder & CTO
Wave Computing

Chris is the Chief Technology Officer of Wave Computing and the lead architect of the DPU architecture incorporated into Wave’s Deep Learning Computer. In addition to his duties as CTO, Chris leads the systems team developing products, the runtime software environment and benchmarking applications using deep learning frameworks.

Chris Nicol

Co-Founder & CTO
Wave Computing

Chris is the Chief Technology Officer of Wave Computing and the lead architect of the DPU architecture incorporated into Wave’s Deep Learning Computer. In addition to his duties as CTO, Chris leads the systems team developing products, the runtime software environment and benchmarking applications using deep learning frameworks.

Prior to Wave, Chris was Chief Technology Officer, Embedded Systems at NICTA, an Australian ICT R&D organization he helped to establish, where he supported over 20 R&D projects across 5 labs in hardware and software development for intelligent, secure, robust and power efficient embedded systems. Prior to NICTA, he founded Bell Labs Research in Australia and Agere Systems in Australia and he worked for AT&T Bell Labs, New Jersey.

He received the PhD degree from the University of New South Wales and the MBA from the Australian Graduate School of Management. He is an inventor on 21 U.S. patents. He has served on the TPC of ISSCC twice, and is serving his second term on the TPC of IEEE International Symposium on Low Power Electronics and Design.

 

Dr. Kai Yu

Founder & CEO
Horizon Robotics Inc

Dr. Kai Yu is a co-founder and CEO of Horizon Robotics Inc. He is an internationally-recognized pioneer and leader in deep learning and artificial intelligence. He was the founder and Head of Baidu Institute of Deep Learning (IDL), the first and most established artificial intelligence R&D center in China's industry. Dr. Yu has been elected to China's “Top 1000 Talents”, a prestigious group of technology leaders in the country. He has published around 60 papers with more than 13,000 citations.

Dr. Kai Yu

Founder & CEO
Horizon Robotics Inc

Dr. Kai Yu is a co-founder and CEO of Horizon Robotics Inc. He is an internationally-recognized pioneer and leader in deep learning and artificial intelligence. He was the founder and Head of Baidu Institute of Deep Learning (IDL), the first and most established artificial intelligence R&D center in China's industry. Dr. Yu has been elected to China's “Top 1000 Talents”, a prestigious group of technology leaders in the country. He has published around 60 papers with more than 13,000 citations. In 2011 as an adjunct faculty, he taught a class “CS121: Introduction to Artificial Intelligence" at the Computer Sciences Department of Stanford University. 

 

Dr. Thomas Andersen

Head of Machine Learning and AI Design Group
Synopsys

Thomas Andersen is leading Machine Learning and AI Technology at Synopsys. He holds a Master's degree from the University of Stuttgart and a PhD in Computer Engineering from the University of Kaiserslautern in Germany. He has more than 20 years of experience in the semiconductor and EDA industry, starting his career at IBMs TJ Watson Research Center, followed by managing Synthesis and P&R R&D at Magma Design Automation and Synopsys. Thomas is currently focused on developing new technologies in the AI and ML space to automate the future of chip design.

Dr. Thomas Andersen

Head of Machine Learning and AI Design Group
Synopsys

Thomas Andersen is leading Machine Learning and AI Technology at Synopsys. He holds a Master's degree from the University of Stuttgart and a PhD in Computer Engineering from the University of Kaiserslautern in Germany. He has more than 20 years of experience in the semiconductor and EDA industry, starting his career at IBMs TJ Watson Research Center, followed by managing Synthesis and P&R R&D at Magma Design Automation and Synopsys. Thomas is currently focused on developing new technologies in the AI and ML space to automate the future of chip design.

 

Victoria Rege

Global Head of Strategic Partnerships
Graphcore

Victoria Rege

Global Head of Strategic Partnerships
Graphcore
 

Yi Shan

CTO & Partner
DeePhi

Yi Shan

CTO & Partner
DeePhi
 

Eitan Medina

Chief Business Officer
Habana

Eitan Medina

Chief Business Officer
Habana
 

Naveen Rao

VP & GM, Artificial Intelligence Products Group
Intel

Naveen Rao

VP & GM, Artificial Intelligence Products Group
Intel
 

Yankin Tanurhan

Vice President, Solutions Group
Synopsys

Dr. Yankin Tanurhan is Vice President of Engineering for DesignWare Processor Cores, IP Subsystems and Non-Volatile Memory, Security and SoC Design at Synopsys. He leads the low power and high performance ARC and EV embedded Processor developments targeted from Mobile, IoT, Embedded Vision, Digital Home, Automotive/Industrial, Security to Storage markets, ASIP tool development with products like ASIP Designer and Programmer, IP Subsystems products like Sensor Fusion, Audio, Vision and Security Subsystems and CMOS based Non Volatile IP development. Before joining Synopsys, Dr.

Yankin Tanurhan

Vice President, Solutions Group
Synopsys

Dr. Yankin Tanurhan is Vice President of Engineering for DesignWare Processor Cores, IP Subsystems and Non-Volatile Memory, Security and SoC Design at Synopsys. He leads the low power and high performance ARC and EV embedded Processor developments targeted from Mobile, IoT, Embedded Vision, Digital Home, Automotive/Industrial, Security to Storage markets, ASIP tool development with products like ASIP Designer and Programmer, IP Subsystems products like Sensor Fusion, Audio, Vision and Security Subsystems and CMOS based Non Volatile IP development. Before joining Synopsys, Dr. Tanurhan was Vice President and General Manager of Virage Logic's Processors, SoC Infrastructure and NVM Solutions business units. Virage Logic was acquired by Synopsys in September 2010. Prior to this, Dr. Tanurhan served as Vice President of Actel's Advanced Applications and System Solutions, where he lead Actel's new architecture design, IP and MPU business units, system and hardware tools and product validation departments. He was also responsible for leading Actel's embedded FPGA, embedded processor and DSP activities.

Previously in his research career he served as the director of the department of electronic systems and microsystems of FZI (Forschungszentrum Informatik) a German contract research institute attached to the University of Karlsruhe. Dr. Tanurhan has authored more than 100 papers in refereed publications. He holds a B.S. and M.S. in Electrical and Computer Engineering from Rheinisch Westfaellische Technische Hochschule (RWTH) in Aachen, Germany and a Dr. Ing. degree summa cum laude in Electrical Engineering from the University of Karlsruhe (TH) in Karlsruhe, Germany.

 

Kunle Olukotun

Co-founder and Chief Technologist
SambaNova Systems

Kunle Olukotun

Co-founder and Chief Technologist
SambaNova Systems
 

Sarah Guo

Partner
Greylock Partners

Sarah Guo

Partner
Greylock Partners
 

Richard Terrill

VP, Operations
ThinCi

Richard Terrill

VP, Operations
ThinCi
 

Alexandra Wright-Gladstein

Co-Founder & CEO
Ayar Labs

Alexandra Wright-Gladstein

Co-Founder & CEO
Ayar Labs
 

Handol Kim

General Manager, Quadrant AI Business Unit
D-Wave Systems

Handol Kim

General Manager, Quadrant AI Business Unit
D-Wave Systems
 

Gordon Hirsch-Wilson

Co-Founder & CEO
RAIN Neuromorphics

Gordon is a co-founder and the CEO of Rain Neuromorphics, an AI startup developing neuromorphic hardware - physical chips that that can operate faster and with far less power than current implementations of software-based neural networks. Through biologically inspired architectures and algorithms, RAIN Neuromorphics envisions a future where all devices are independently intelligent.

Gordon Hirsch-Wilson

Co-Founder & CEO
RAIN Neuromorphics

Gordon is a co-founder and the CEO of Rain Neuromorphics, an AI startup developing neuromorphic hardware - physical chips that that can operate faster and with far less power than current implementations of software-based neural networks. Through biologically inspired architectures and algorithms, RAIN Neuromorphics envisions a future where all devices are independently intelligent.

 

Reza Zadeh

Founder & CEO
Matroid

Reza Bosagh Zadeh is Founder CEO at Matroid and an Adjunct Professor at Stanford University. His work focuses on Machine Learning, Distributed Computing, and Discrete Applied Mathematics. Reza received his PhD in Computational Mathematics from Stanford under the supervision of Gunnar Carlsson. His awards include a KDD Best Paper Award and the Gene Golub Outstanding Thesis Award. He has served on the Technical Advisory Boards of Microsoft and Databricks.

Reza Zadeh

Founder & CEO
Matroid

Reza Bosagh Zadeh is Founder CEO at Matroid and an Adjunct Professor at Stanford University. His work focuses on Machine Learning, Distributed Computing, and Discrete Applied Mathematics. Reza received his PhD in Computational Mathematics from Stanford under the supervision of Gunnar Carlsson. His awards include a KDD Best Paper Award and the Gene Golub Outstanding Thesis Award. He has served on the Technical Advisory Boards of Microsoft and Databricks. As part of his research, Reza built the Machine Learning Algorithms behind Twitter's who-to-follow system, the first product to use Machine Learning at Twitter. Through Apache Spark, Reza's work has been incorporated into industrial and academic cluster computing environments. In addition to research, Reza designed and teaches two PhD-level classes at Stanford: Distributed Algorithms and Optimization (CME 323), and Discrete Mathematics and Algorithms (CME 305).

 

Cliff Young

Software Engineer
Google Brain

Cliff Young

Software Engineer
Google Brain
 

Emily Watkins

AI Solutions Architect
Pure Storage

Emily Watkins

AI Solutions Architect
Pure Storage
 

Yangqing Jia

Director AI Infrastructure
Facebook

Yangqing is a Research scientist director at Facebook, where he leads a team of talented researchers and engineers to build the general-purpose, large-scale AI platform for all Facebook's applications. The system serves as the backbone of Facebook AI products, such as ranking, computer vision, natural language processing, speech recognition, mobile AI, and AR.

Prior to Facebook, he was a research scientist at Google Brain, where he worked on computer vision, deep learning, and the TensorFlow framework.

Yangqing Jia

Director AI Infrastructure
Facebook

Yangqing is a Research scientist director at Facebook, where he leads a team of talented researchers and engineers to build the general-purpose, large-scale AI platform for all Facebook's applications. The system serves as the backbone of Facebook AI products, such as ranking, computer vision, natural language processing, speech recognition, mobile AI, and AR.

Prior to Facebook, he was a research scientist at Google Brain, where he worked on computer vision, deep learning, and the TensorFlow framework.

He obtained his Ph.D. in Computer Science at UC Berkeley and bachelor and master degrees from Tsinghua University, China.

In recent years, Yangqing has been an active figure in AI software stack designs: He is the creator of Caffe, a BVLC-maintained, open-source deep learning framework.

 

Liam Madden

Senior Vice President, Hardware & Systems Product Development
Xilinx

Liam Madden is Senior Vice President of Hardware and Systems Product Development at Xilinx. He leads a global team of about 1,000 engineers and oversees the strategy, design solutions, priorities and execution specific to the growth of all Xilinx Hardware and System solutions, including silicon, packaging, evaluation systems and embedded software. Madden led the development of the highly successful 28nm, 20nm and 16nm programmable families.

Liam Madden

Senior Vice President, Hardware & Systems Product Development
Xilinx

Liam Madden is Senior Vice President of Hardware and Systems Product Development at Xilinx. He leads a global team of about 1,000 engineers and oversees the strategy, design solutions, priorities and execution specific to the growth of all Xilinx Hardware and System solutions, including silicon, packaging, evaluation systems and embedded software. Madden led the development of the highly successful 28nm, 20nm and 16nm programmable families. He was responsible for the introduction of stacking technology at 28nm, leading the industry in integrating multiple devices on a silicon interposer for which he received the 2013 Semi Award. He is responsible for integrating Gb/s data converters into Xilinx products as part of the RFSOC product line aimed at revolutionizing 5G radio solutions and related products. 

Madden is a nine year veteran of Xilinx. In over a 35 year career he contributed to a range of industry leading products, including: high performance and low power microprocessors (Alpha and StrongArm at DEC), embedded processors and IP (MIPS) and consumer devices (Xbox 360 at Microsoft). 

Prior to joining Xilinx, he was a Senior Fellow at AMD where he drove AMD’s next generation chip integration methodology. 

Madden holds a BE degree from UCD, an M.Eng. degree from Cornell University. He is an Adjunct Professor at UCD, a Fellow of the Institute of Engineers Ireland and a Board Member of Science Foundation Ireland. 

 

Tapabrata Ghosh

Founder & CEO
Vathys

Tapabrata Ghosh

Founder & CEO
Vathys
 

Ian Bratt

Distinguished Engineer & Director of Technology, ML
ARM

Ian Bratt is a Distinguished Engineer at Arm, where he leads the Machine Learning Technology group. Previously, Ian worked as an architect on several generations of Arm Mali GPUs, during a high-growth period which culminated in Arm partners shipping over 1B Mali GPUs in 2016. Prior to Arm, Ian worked at the pioneering multicore startup, Tilera. Ian has worked on CPUs, GPUs, memory systems and SoC architecture. He holds an S.M. from MIT and has 23 granted US patents. 

Ian Bratt

Distinguished Engineer & Director of Technology, ML
ARM

Ian Bratt is a Distinguished Engineer at Arm, where he leads the Machine Learning Technology group. Previously, Ian worked as an architect on several generations of Arm Mali GPUs, during a high-growth period which culminated in Arm partners shipping over 1B Mali GPUs in 2016. Prior to Arm, Ian worked at the pioneering multicore startup, Tilera. Ian has worked on CPUs, GPUs, memory systems and SoC architecture. He holds an S.M. from MIT and has 23 granted US patents. 

 

Sumit Gupta

VP, AI, HPC & Machine Learning
IBM

Sumit Gupta

VP, AI, HPC & Machine Learning
IBM
 

Junli Gu

VP, Autonomous Driving
Xiaopeng Motors

Junli Gu

VP, Autonomous Driving
Xiaopeng Motors
 

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 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).

 

 

Cade Metz

Technology Correspondent
New York Times

Cade Metz

Technology Correspondent
New York Times
 

Larry Chao

Partner
Silicon Catalyst

Larry Chao

Partner
Silicon Catalyst
 

Rashmi Gopinath

Partner
M12 (Microsoft Ventures)

Rashmi Gopinath

Partner
M12 (Microsoft Ventures)
 

Michael P. Stewart, Ph.D.

Principal
Applied Ventures

Michael P. Stewart, Ph.D. is a 15-year veteran of Silicon Valley, working for more than a decade in advanced technology development at Applied Materials and Intel Research, after moving to Applied Ventures, the corporate venture capital fund of Applied Materials.

Michael P. Stewart, Ph.D.

Principal
Applied Ventures

Michael P. Stewart, Ph.D. is a 15-year veteran of Silicon Valley, working for more than a decade in advanced technology development at Applied Materials and Intel Research, after moving to Applied Ventures, the corporate venture capital fund of Applied Materials.

Michael leads the investment thesis in AI hardware for Applied Ventures, as well as leveraging his experience in advanced materials, chemicals, and other “whitespace” investments to drive growth in markets beyond core semiconductor technology. Michael serves as board observer for several Applied Ventures portfolio companies, and his most recent investment was with Electroninks, an innovative developer of high performance metallization inks for display and printed electronics technology.

Prior to joining Applied Ventures, Dr. Stewart was co-founder of JUSE LLC, a consumer electronics focused startup, and the inventor of the low cost CRAFT Cell for silicon photovoltaics. He has developed high volume manufacturing products for crystalline Si solar and semiconductor device fabrication. He is an expert in silicon materials science, surface chemistry, and post-CMOS electronics, as well as chemicals and materials for electronics and biotechnology applications.

Dr Stewart holds a PhD in Chemistry from Purdue University and an MBA from the University of California at Berkeley (Haas School of Business), and is listed as an inventor on over 40 US and world patent publications.

 

Mohammad Rastegari

CTO, Xnor.AI & Research Scientist, Allen Institute for AI

Mohammad Rastegari

CTO, Xnor.AI & Research Scientist, Allen Institute for AI
 

Ian Buck

VP & GM
Tesla Data Center Business: NVIDIA

Ian Buck is vice president of NVIDIA's Accelerated Computing business unit, which includes all hardware and software product lines, third-party enablement, and marketing activities for GPU computing.

Buck joined NVIDIA in 2004 and created CUDA, which remains the established leading platform for accelerated-based parallel computing. Before joining NVIDIA, he was the development lead on Brook, which was the forerunner to generalized computing on GPUs.

Ian Buck

VP & GM
Tesla Data Center Business: NVIDIA

Ian Buck is vice president of NVIDIA's Accelerated Computing business unit, which includes all hardware and software product lines, third-party enablement, and marketing activities for GPU computing.

Buck joined NVIDIA in 2004 and created CUDA, which remains the established leading platform for accelerated-based parallel computing. Before joining NVIDIA, he was the development lead on Brook, which was the forerunner to generalized computing on GPUs.

Buck holds a Ph.D. in computer science from Stanford University and Bachelor of Science in computer science from Princeton University.

 

Mike Henry

Co-Founder & CEO
Mythic

Mike Henry

Co-Founder & CEO
Mythic
 

Brett Simpson

Co-Founder & Partner
Arete Research

Brett Simpson

Co-Founder & Partner
Arete Research
 

Lin Yang

Co-Founder & Chief Scientist
GyrFalcon Technology

Dr. Lin Yang received his bachelor's degree in Electronics and Communication Engineering from Tsinghua University and his PhD in Electronics Engineering at UC Berkeley. His areas of research include image processing, neural network, image recognition, and deep learning processor. Dr. Yang played a crucial role in inventing Cellular Neural Network (CNN) in 1988, and China's digital video broadcasting terrestrial (DVB-T2) standard in 2005.

Lin Yang

Co-Founder & Chief Scientist
GyrFalcon Technology

Dr. Lin Yang received his bachelor's degree in Electronics and Communication Engineering from Tsinghua University and his PhD in Electronics Engineering at UC Berkeley. His areas of research include image processing, neural network, image recognition, and deep learning processor. Dr. Yang played a crucial role in inventing Cellular Neural Network (CNN) in 1988, and China's digital video broadcasting terrestrial (DVB-T2) standard in 2005. He received multiple patents and awards in both China and the U.S., including IEEE Best Paper Award in 1988, China National Invention Award in 2005, and China National Patent Award in 2015. Dr. Yang was also a tenured professor at Tsinghua, Fudan and other top universities in China.

 

Jennifer Myers

Senior Director of Engineering, AI Software
Intel

Jennifer Myers is a Senior Director of Engineering at Intel. She leads teams optimizing Deep Learning frameworks for Intel CPUs, as well as the teams developing the nGraph Deep Learning compiler. nGraph is an Open Source project aiming to optimize both training and inference across a wide variety of frameworks, topologies and backends (CPU, GPU, FPGA, DL accelerators). Jennifer joined Intel as part of the Nervana Systems acquisition in 2016.

Jennifer Myers

Senior Director of Engineering, AI Software
Intel

Jennifer Myers is a Senior Director of Engineering at Intel. She leads teams optimizing Deep Learning frameworks for Intel CPUs, as well as the teams developing the nGraph Deep Learning compiler. nGraph is an Open Source project aiming to optimize both training and inference across a wide variety of frameworks, topologies and backends (CPU, GPU, FPGA, DL accelerators). Jennifer joined Intel as part of the Nervana Systems acquisition in 2016.  Prior to this, she had a 20+ year career in technical leadership positions across a variety of startups and Sun Microsystems, innovating in search and ads systems and relevance, email, secure network storage, video compression and streaming and network security. She was introduced to Deep Learning in a graduate course on Parallel and Distributed Processing her freshman year at Carnegie Mellon University, and holds a Ph.D. from Northwestern University in Neuroscience, where her thesis was in neural network modeling of human arm movement.

 

Marc Tremblay

Distinguished Engineer
Microsoft

Marc Tremblay

Distinguished Engineer
Microsoft
 

Ziad Asghar

Vice President, Snapdragon Roadmap Planning and AI, XR & Competitive Strategy
Qualcomm

Ziad Asghar

Vice President, Snapdragon Roadmap Planning and AI, XR & Competitive Strategy
Qualcomm
 

Patrick Soheili

VP Product Management & Corporate Development
eSilicon

Patrick Soheili

VP Product Management & Corporate Development
eSilicon

Why Attend

The AI Hardware Summit is the first and only conference dedicated solely to the ecosystem developing hardware accelerators for neural networks and computer vision.

Join 250+ senior technology leaders from AI chip start-ups, semiconductor companies, system vendors/OEMs, data centers, end users, financial services, investors and fund managers, to build a comprehensive architectural roadmap of the emerging AI chip market.

Take advantage of unique networking opportunities to meet key industry leaders 1-2-1, whilst also exploring:  

  • Innovations and Optimizations of High-Performance Chip Architectures: GPUs, ASICs & TPUs, FPGAs…
  • Alternative Approaches: hybrid digital/analog computing, neuromorphics & neuromemristive systems, quantum computing.
  • The Role of Software: assistance software, software frameworks, ecosystems, and applications. Generating user-friendly native code and linking open source machine learning frameworks like TensorFlow & Caffe.
  • Industry Developments: Start-up & Corporate R&D, Venture Capital and Corporate Venture Capital investment trends, strategic acquisitions & partnerships.

Forecasts predict that the AI (chipsets) market is expected to grow from USD 7.06 Billion in 2018 to USD 59.26 Billion by 2025, at a CAGR of 35.5% from 2018 to 2025 (Business Wire, 2018), the chip market is no longer standing still. As we approach a paradigm shift in computing, there is little doubt that a combination of the processing units currently in development will accelerate AI research and development, far beyond the capabilities of current platforms.  There is need for sharing knowledge on the best way to turn this shift into an opportunity and roadmap the future ahead.

2
Full conference days
20+
Leading speakers
250+
Tech leaders & investors
15+
Dedicated networking hours

Headline Partner

Platinum Partners

Gold Partner

Event Partner

Equity Research Partner

Media Partners

Resources

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Who Will Be There

15%
Semiconductor Companies
15%
Data Centers
15%
Systems Vendors/OEMs
10%
AI Chip Start-Ups
10%
Enterprise
10%
VCs
10%
Financial Services
5%
Consultants & Service Providers
10%
System IP Companies

Semiconductor Companies

Data Centers

Systems Vendors/OEMs

AI Chip Start-Ups

Enterprise

VCs

Financial Services

Consultants & Service Providers

System IP Companies

Become a Sponsor

This summit offers attendees, sponsors, and event partners access to representatives of the entire Beauty ecosystem, delivering unique business development opportunities.

Position your organization as a leader in this marketplace and leverage bespoke business development and marketing strategies.

PAST SPONSORS FROM ALL THE FOLLOWING CATEGORIES:

  • Marketing & Digital Agency
  • Ecommerce Platform
  • Packaging Supplier
  • Ingredient’s Supplier
  • Investment Firms
  • Investment Bankers
  • M&A Advisor
  • Strategic Consultant
  • Beauty Apps
  • Distribution
  • Market Research
  • Regulatory Organisations

Contact our sponsorship team to find out more about each package by emailing [email protected] or by calling: +44 (0)20 3696 2920.

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

Friday, July 20, 2018 to Wednesday, September 19, 2018
Primary Market – Semiconductor, AI Chip Start-Ups, OEMs, Data Centers, Enterprise
$1699
Standard rate
2 day conference pass
Refreshments, breakfast & lunch
Networking opportunities
To increase your brand presence, contact Ben Edwards, [email protected]
Friday, July 20, 2018 to Wednesday, September 19, 2018
Financial Services, Investors & Consultants
$2199
Standard rate
2 day conference pass
Refreshments, breakfast & lunch
Networking opportunities
To increase your brand presence, contact Ben Edwards, [email protected]
Preparing registration...

Venue

Computer History Museum,1401 N Shoreline Blvd. Mountain View, CA 94043

We're very excited to launch the AI Hardware Summit in the Computer History Museum, CA.

With a four-decade history as the world’s leading institution exploring the history of computing and its ongoing impact on society. The Museum is dedicated to the preservation and celebration of computer history and is home to the largest international collection of computing artifacts in the world.

Find out more

Need accommodation? We recommend one of the below nearby hotels: 

  • Hampton Inn & Suites Mountain View, 390 Moffett Blvd, Mountain View, CA 94043  (1.3 miles from CHM)
  • Hotel Vue, 64W El Camino Real, Mountain View, CA 94040  (3 miles from CHM)
  • Hilton Garden Inn, 4216 El Camino Real, Palo Alto, CA94306  (4 miles from CHM)

computer_history_museum.png

 

 

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