2022 Testimonials
2022 HIGHLIGHTS
How To Get Involved
Partner With Us
It's never too early to get involved! Based on your objectives, we can create bespoke packages designed specifically for you.
From presenting your expertize on the main stage to showcasing your latest products and technology you can partner with us showcase your brand and make valuable new connections. Opportunities predominantly lie in 3 main categories: Thought Leadership, Branding & Networking.
Discuss your objectives with Ben Edwards, Commercial Partnerships Director; [email protected]
OR REGISTER YOUR INTEREST IN SPONSORSHIP HERE.
About The Event
The combined AI Hardware & Edge AI Summit now comprehensively covers the design and deployment of ML hardware and software infrastructure across the cloud-edge continuum.
For Enterprise ML Experts: Attend a unique AI systems event that will give you both hardware and software tools and techniques for training, deploying, and serving machine learning – the program contains a mixture of state-of-the-art topics and practical tutorials, so you know what is out there, and what you can use. 35% of our audience are enterprise ML practitioners just like you!
For Technology Vendors: Attend the premier event for the AI infrastructure ecosystem, which blends systems, software, tooling and applications for a unique proposition that focuses on making ML cheaper, more efficient and more affordable. If your product fits into this category, your peers, and customers, are here!
New in 2023:
- A whole day dedicated to case studies from cloud to edge including: generative AI, simulation & digital twins, computer vision, NLP, automotive AI, TinyML and extreme edge.
- Coverage of MLOps, software tools and ML software infrastructure + discussion of novel training methods including federated & distributed learning, active learning and multimodal learning.
- Product launches, demos and showcases on the expanded exhibition floor.
Why People Attend The AIHW Summit...
“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
“The reason I decided to attend the conference…these are my people at this point. I’m here to see what people are thinking about, what they’re doing well beyond what we’re thinking about, and get an insight into what that next level is going to be.” Naveen Rao, CEO, Stealth Start Up
“When I come to the conference, the real fun is chatting to people in the breaks, and networking with people.” Kunle Olukotun, Co-Founder and Chief Technologist, Sambanova Systems
Hear from other industry leaders on why they have been attending since 2018!
Check out our highlights video
Experience is number one at the event - we've put together a short 50 second teaser on what the summit is like! Check it out here
It's also important to know who you'll meet...check out another short video here that displays this!
WHO ATTENDED IN 2022
Download the 2023 Sponsorship Brochure
Previous Speakers
Alexis Black Bjorlin
Dr. Alexis Black Bjorlin is VP, Infrastructure Hardware Engineering at Meta. She also serves on the board of directors at Digital Realty and Celestial AI. Prior to Meta, Dr. Bjorlin was Senior Vice President and General Manager of Broadcom’s Optical Systems Division and previously Corporate Vice President of the Data Center Group and General Manager of the Connectivity Group at Intel. Prior to Intel, she spent eight years as President of Source Photonics, where she also served on the board of directors. She earned a B.S. in Materials Science and Engineering from Massachusetts Institute of Technology and a Ph.D. in Materials Science from the University of California at Santa Barbara.
Mark Russinovich
Mark Russinovich is Chief Technology Officer of Microsoft Azure, where he oversees the technical strategy and architecture of Microsoft’s cloud computing platform. He is a widely recognized expert in distributed systems, operating system internals, and cybersecurity. He is the author of the Jeff Aiken cyberthriller novels, Zero Day, Trojan Horse, and Rogue Code, and co-author of the Microsoft Press Windows Internals books. Russinovich joined Microsoft in 2006 when Microsoft acquired Winternals Software, the company he cofounded in 1996, as well as Sysinternals, where he authors and publishes dozens of popular Windows administration and diagnostic utilities. He is a featured speaker at major industry conferences, including Microsoft Ignite, Microsoft //build, RSA Conference, and more.
Mark recently featured in a podcast with Emerj, discussing large language models in the enterprise - check it out here
Sassine Ghazi
Sassine Ghazi leads and drives strategy for all business units, sales and customer success, strategic alliances, marketing and communications at Synopsys. He joined the company in 1998 as an applications engineer. He then held a series of sales positions with increasing responsibility, culminating in leadership of worldwide strategic accounts. He was then appointed general manager for all digital and custom products, the largest business group in Synopsys. Under his leadership, several innovative solutions were launched in areas such as multi-die systems, AI-assisted design and silicon lifecycle management. He assumed the role of chief operating officer in August, 2020 and was appointed to the role of president in November 2021. Prior to Synopsys he was a design engineer at Intel.
Sassine holds a bachelor’s degree in Business Administration from Lebanese American University; a B.S.E.E from the Georgia Institute of Technology and an M.S.E.E. from the University of Tennessee.
Victor Peng
Victor Peng is President of the Adaptive and Embedded Computing group at AMD. He is responsible for AMD’s Adaptive SmartNIC, FPGA, Adaptive SoC, embedded CPU, and embedded APU business that serve multiple market segments including the data center, communications, automotive, industrial, A&D, healthcare, test/measure/emulation, and other embedded markets. Peng also serves on the board of KLA Corporation.
Peng rejoined AMD in 2022 after 14 years at Xilinx, most recently serving as president and CEO. Prior to joining Xilinx, Peng worked at AMD as corporate vice president of silicon engineering for the graphics products group (GPG) and was the co-leader of the central silicon engineering team supporting graphics, game console products, and CPU chipsets. Prior to that, Peng held executive and engineering leadership roles at ATI, TZero Technologies, MIPS Technologies, SGI, and Digital Equipment Corp.
Joseph Sawicki
Joseph Sawicki is a leading expert in IC nanometer design and manufacturing challenges. Formerly responsible for Mentor's industry-leading design-to-silicon products, including the Calibre physical verification and DFM platform and Mentor's Tessent design-for-test product line, Sawicki now oversees all business units in the Siemens EDA IC segment.
Sawicki joined Mentor Graphics in 1990 and has held previous positions in applications engineering, sales, marketing, and management. He holds a BSEE from the University of Rochester, an MBA from Northeastern University's High Technology Program, and has completed the Harvard Business School Advanced Management Program.
Judy Priest
Judy Priest is a Distinguished Engineer in Microsoft's Cloud and AI Group. She drives innovation, integration, and operations in next generation Data Center platforms supporting Azure, AI, and MS's Enterprise software. Judy has over 25 years of experience in developing data centers systems and silicon, high speed signaling technologies and optics, circuit design, and physical architectures for compute, storage, graphics, and networking.
Judy has previously worked at Cisco Systems, Silicon Graphics, Hewlett-Packard, and Digital Equipment Corporation, as well as two startup ventures. She serves on the Board of Directors for Women's Audio Mission, a local SF nonprofit moving the needle for girls, women, and GNC individuals in STEM through music. Judy was awarded Business Insider's 2018 Most Powerful Female Engineers and InterCon Networking's 2020 Top 100 Leaders in Engineering.
Lip-Bu Tan
Mr. Lip-Bu Tan is a Co-Founder, Partner, Managing Director, and Chairman of Walden International. Mr. Tan serves as Executive Chairman of Cadence Design Systems Inc., and as Chairman on the Board of SambaNova Systems, Inc. Mr. Tan also serves on the Boards of Softbank and Schneider Electric. Until late 2021, Mr Tan served as Chief Executive Officer at Cadence Design Systems Inc. since January 2009, serving as its President from January 2009 to November 2017. Lip-Bu focuses on semiconductor/components, cloud/big data, artificial intelligence and machine learning. Lip-Bu holds a B.S. in Physics from Nanyang University in Singapore, a M.S. in Nuclear Engineering from Massachusetts Institute of Technology, and a M.B.A. from the University of San Francisco.
Dr. Caiming Xiong
Dr. Caiming Xiong is VP of AI Research and Applied AI at Salesforce. Dr. Xiong holds a Ph.D. from the department of Computer Science and Engineering, University at Buffalo, SUNY and worked as a Postdoctoral Researcher Scholar at the University of California, Los Angeles (UCLA).
Colin Murdoch
Decades of international commercial experience and deep technical expertise mean Colin is uniquely placed to ensure DeepMind’s cutting-edge research benefits as many people as possible. As Chief Business Officer of DeepMind, he oversees a wide-range of teams including Applied, which applies research breakthroughs to Google products and infrastructure used by billions of people. He also helps drive the growth of DeepMind, building and leading critical functions including finance and strategy and leading external and commercial partnerships. Originally an electronics and software engineer, he has held senior positions at both start-ups and global companies such as Thomson Reuters, helping them solve their own complex, mission-critical, real-world challenges.
Daniel Wu
Daniel Wu is a technical leader who brings more than 20 years of expertise in software engineering, AI/ML, and high-impact team development. He is the Head of Commercial Banking AI and Machine Learning at JPMorgan Chase where he drives financial service transformation through AI innovation. His diverse professional background also includes building point of care expert systems for physicians to improve quality of care, co-founding an online personal finance marketplace, and building an online real estate brokerage platform.
Daniel is passionate about the democratization of technology and the ethical use of AI - a philosophy he shares in the computer science and AI/ML education programs he has contributed to over the years.
Dan McCreary
Dan is a distinguished engineer in AI working on innovative database architectures including document and graph databases. He has a strong background in semantics, ontologies, NLP and search. He is a hands-on architect and like to build his own pilot applications using new technologies. Dan started the NoSQL Now! Conference (now called the Database Now! Conferences). He also co-authored the book Making Sense of NoSQL, one of the highest rated books on Amazon on the topic of NoSQL. Dan worked at Bell Labs as a VLSI circuit designer where he worked with Brian Kernighan (of K&R C). Dan also worked with Steve Jobs at NeXT Computer.
Hooman Sedghamiz
Hooman Sedghamiz is Director of AI & ML at Bayer. He has lead algorithm development and generated valuable insights to improve medical products ranging from implantable, wearable medical and imaging devices to bioinformatics and pharmaceutical products for a variety of multinational medical companies.
He has lead projects, data science teams and developed algorithms for closed loop active medical implants (e.g. Pacemakers, cochlear and retinal implants) as well as advanced computational biology to study the time evolution of cellular networks associated with cancer , depression and other illnesses.
His experience in healthcare also extends to image processing for Computer Tomography (CT), iX-Ray (Interventional X-Ray) as well as signal processing of physiological signals such as ECG, EMG, EEG and ACC.
Recently, his team has been working on cutting edge natural language processing and developed cutting edge models to address the healthcare challenges dealing with textual data.
Phil Brown
Phil leads Graphcore’s efforts to build large scale AI/ML processing capability using Graphcore unique Intelligence Processing Units (IPUs) and IPU-Fabric and Streaming Memory technology. Previously he has held a number of different roles at Graphcore including Director of Applications, leading development of Graphcore’s flagship AL/ML models, and Director of Field Engineering, which acts as the focal point for technical engagements with our customers. Prior to joining Graphcore, Phil worked for Cray Inc. in a number of roles, including leading their engagement with the weather forecasting and climate research customers worldwide and as a technical architect. Phil holds a PhD in Computational Chemistry from the University of Bristol.
Selcuk Kopru
Selcuk Kopru is Head of ML & NLP at eBay and is an experienced AI leader with proven expertise in creating and deploying cutting edge NLP and AI technologies and systems. He is experienced in developing scalable Machine Learning solutions to solve big data problems that involve text and multimodal data. He is also skilled in Python, Java, C++, Machine Translation and Pattern Recognition. Selcuk is also a strong research professional with a Doctor of Philosophy (PhD) in NLP in Computer Science from Middle East Technical University.
Cedric Bourrasset
Dr. Cedric Bourrasset is AI Business Leader for High Performance Computing Business Unit at Atos. He is also AI product manager for the Atos Codex AI suite, software enabling AI workloads into HPC environments as well as integrating a computer vision solution. He joined Atos in 2016 as an expert in the HPC/AI domain.
Previously, Cedric received his Ph.D. in Electronics and computer vision from the Blaise Pascal University of Clermont-Ferrand defending the dataflow model of computation for FPGA High Level Synthesis problematic in embedded machine learning applications.
Kunle Olukotun
Kunle Olukotun is the Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. Olukotun is a renowned pioneer in multi-core processor design and the leader of the Stanford Hydra chip multiprocessor (CMP) research project.
Prior to SambaNova Systems, Olukotun founded Afara Websystems to develop high-throughput, low-power multi-core processors for server systems. The Afara multi-core processor, called Niagara, was acquired by Sun Microsystems and now powers Oracle’s SPARC-based servers.
Olukotun is the Director of the Pervasive Parallel Lab and a member of the Data Analytics for What’s Next (DAWN) Lab, developing infrastructure for usable machine learning.
Olukotun is an ACM Fellow and IEEE Fellow for contributions to multiprocessors on a chip and multi-threaded processor design. Olukotun recently won the prestigious IEEE Computer Society’s Harry H. Goode Memorial Award and was also elected to the National Academy of Engineering—one of the highest professional distinctions accorded to an engineer.
Kunle received his Ph.D. in Computer Engineering from The University of Michigan.
Xiaoyong Liu
Gordon Wilson
Gayathri Radhakrishnan
Gayathri Radhakrishnan is currently part of the investment team at Micron Ventures, investing from $100M AI fund. She invests in startups that are leveraging AI/ML to solve critical problems in the areas of Manufacturing, Healthcare, Automotive and AgTech. Prior to that, she brings 20 years of multi-disciplinary experience across product management, product marketing, corporate strategy, M&A and venture investments in large Fortune 500 companies such as Dell and Corning and in startups. She has also worked as an early stage investor at Earlybird Venture Capital, a premier European venture capital fund based in Germany. She has a Masters in EE from The Ohio State University and MBA from INSEAD in France. She is also a Kauffman Fellow.
Jeff Boudier
Jeff Boudier is a product director at Hugging Face, creator of Transformers, the leading open-source NLP library. Previously Jeff was a co-founder of Stupeflix, acquired by GoPro, where he served as director of Product Management, Product Marketing, Business Development and Corporate Development.
Cade Metz
Cade Metz is a reporter with The New York Times, covering artificial intelligence, driverless cars, robotics, virtual reality, and other emerging areas. Genius Makers is his first book. Previously, he was a senior staff writer with Wired magazine and the U.S. editor of The Register, one of Britain’s leading science and technology news sites.
A native of North Carolina and a graduate of Duke University, Metz, 48, works in The New York Times’ San Francisco bureau and lives across the bay with his wife Taylor and two daughters.
Steven Woo
I was drawn to Rambus to focus on cutting edge computing technologies. Throughout my 15+ year career, I’ve helped invent, create and develop means of driving and extending performance in both hardware and software solutions. At Rambus, we are solving challenges that are completely new to the industry and occur as a response to deployments that are highly sophisticated and advanced.
As an inventor, I find myself approaching a challenge like a room filled with 100,000 pieces of a puzzle where it is my job to figure out how they all go together – without knowing what it is supposed to look like in the end. For me, the job of finishing the puzzle is as enjoyable as the actual process of coming up with a new, innovative solution.
For example, RDRAM®, our first mainstream memory architecture, implemented in hundreds of millions of consumer, computing and networking products from leading electronics companies including Cisco, Dell, Hitachi, HP, Intel, etc. We did a lot of novel things that required inventiveness – we pushed the envelope and created state of the art performance without making actual changes to the infrastructure.
I’m excited about the new opportunities as computing is becoming more and more pervasive in our everyday lives. With a world full of data, my job and my fellow inventors’ job will be to stay curious, maintain an inquisitive approach and create solutions that are technologically superior and that seamlessly intertwine with our daily lives.
After an inspiring work day at Rambus, I enjoy spending time with my family, being outdoors, swimming, and reading.
Education
- Ph.D., Electrical Engineering, Stanford University
- M.S. Electrical Engineering, Stanford University
- Master of Engineering, Harvey Mudd College
- B.S. Engineering, Harvey Mudd College
Sakyasingha Dasgupta
Dr. Sakyasingha Dasgupta is the founder and CEO of Edgecortix, Inc. He is an AI and machine learning technologist, entrepreneur and engineer with real-world experience in taking cutting edge research from ideation stage to scalable products. Having worked at global companies like Microsoft, IBM Research and national research labs like RIKEN and Max Planck Institute, in his more recent roles, he has helped establish and lead technology teams at lean startups in Japan and Singapore, in robotics & automation and Fintech sectors.
After spending more than a decade in research and development in diverse areas like, brain inspired computing, robotics, computer vision, hardware acceleration for AI, wearable devices, internet of things, machine learning in finance and healthcare, Sakya founded EdgeCortix, a deep-tech startup automating machine learning driven AI hardware & software co-design for an intelligent distributed edge ecosystem.
Sakyasingha recently took part in a webinar titled "Software, The Elephant in the Room for Edge AI Hardware Acceleration" - register for free to watch on-demand here
Morteza Noshad
Morteza Noshad is a senior ML/NLP scientist at Vida health. He is skilled at designing large scale NLP models for different healthcare applications such as automated clinical documentation, symptom detection and question answering. Morteza was a research scientist at Stanford University focusing on graph neural networks for clinical decision support systems where he received the SAGE Scientist Award for his research. Morteza received his Ph.D. in Computer Science from University of Michigan where he contributed to the theory of information bottleneck in deep learning.
Karl Freund
Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.
Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.
Accomplishments during his career include:
- Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
- Created an industry-wide thought leadership position for Calxeda in the ARM Server market
- Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
- Built the IBM Power Server brand from 14% market share to over 50% share
- Integrated the Tivoli brand into the IBM company’s branding and marketing organization
- Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition
Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).
Harshit Khaitan
Harshit Khaitan is the Director of AI Accelerator at Meta where he leads building AI Accelerators for Reality labs products. Prior to Meta, he was technical lead and co-founder for the Edge Machine learning accelerators at Google, responsible for MLA in Google Pixel 4 (Neural Core) and Pixel 6 (Google Tensor SoC). He has also held individual and technical leadership positions at Google’s first Cloud TPU, Nvidia Tegra SoCs and Nvidia GPUs. He has 10+ US and international patents in On-device AI acceleration. He has a Master’s degree in Computer Engineering from North Carolina State University and a Bachelor’s degree in Electrical Engineering from Manipal Institute of Technology, India.
Weifeng Zhang
Weifeng Zhang is the Chief Scientist of Heterogeneous Computing at Alibaba Cloud Infrastructure, responsible for performance optimization of large scale distributed applications at the data centers. Weifeng also leads the effort to build the acceleration platform for various ML workloads via heterogeneous resource pooling based on the compiler technology. Prior to joining Alibaba, Weifeng was a Director of Engineering at Qualcomm Inc, focusing on GPU compiler and performance optimizations. Weifeng received his B.Sc. from Wuhan University, China and PhD in Computer Science from University of California, San Diego.
Marshall Choy
Marshall Choy is Senior Vice President of Product at SambaNova Systems and is responsible for product management and go-to-market operations. Marshall has extensive experience leading global organizations to bring breakthrough products to market, establish new market presences, and grow new and existing lines of business. Marshall was previously Vice President of Product Management at Oracle until 2018. He was responsible for the portfolio and strategy for Oracle Systems products and solutions. He led teams that delivered comprehensive end-to-end hardware and software solutions and product management operations. Prior to joining Oracle in 2010 when it acquired Sun Microsystems, he served as Director of Engineered Solutions at Sun. During his 11 years there, Marshall held various positions in development, information technology, and marketing.
Supriya Gupta
As Credit Karma’s head of Recommendations, Supriya is charged with personalizing the Credit Karma app experience for the company’s more than 120 million members. When she joined the team more than three years ago, Supriya oversaw the transformation of the company’s recommendations engine into a dynamic and personalized deep-learning based system that leverages data and machine learning to deliver tailored recommendations and offers to our members. This means members are served financial products, tools and recommendations at the right time, and that best adhere to their financial goals and ambitions. Under Supriya’s leadership, Credit Karma’s recommendations system has significantly grown and transformed over the years, and her team is doing more than 35 billion model predictions each day. Today, her business unit partners with nearly every team at Credit Karma and drives a significant portion of revenue for the business. Prior to joining Credit Karma, Supriya worked in product at Facebook, where she led product strategy and development for a number of ads products. Supriya holds a B.S. and M.S. in Electrical Engineering from the University of Illinois, and a M.B.A. from The Wharton School of the University of Pennsylvania.
Vishnu Ram
As VP of Data Science and Engineering at Credit Karma, Vishnu has been instrumental in building and scaling Credit Karma’s machine learning infrastructure, powering personalized recommendations at scale, in pursuit of helping its 120 million members make financial progress. Having been with Credit Karma for nearly eight years, Vishnu has led development strategy and implementation of the company’s deep-learning based system comprised of an internally built machine learning platform that helps the Credit Karma transform and manage data at scale. His team runs 35 billion model predictions a day and is tasked with building sophisticated models to boost platform innovation in order to deliver an optimized product experience for Credit Karma’s 120 million members. Prior to joining Credit Karma, Vishnu held CTO roles at Nykaa and Games24x7.
Stelios Diamantidis
Stelios heads Synopsys' AI Solutions team in the Office of the President, where he researches and applies innovative machine-learning technology to address systemic complexity in the design and manufacturing of integrated computational systems. In 2020, Stelios launched DSO.ai™, the world’s first autonomous AI application for chip design. He has more than 20 years of experience in chip design and EDA software and has founded two companies in this space. Stelios holds an M.S. Electrical Engineering from Stanford University, California.
Luis Ceze
Luis Ceze is Co-founder and CEO at OctoML, Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington, and Venture Partner at Madrona Venture Group. His research focuses on the intersection between computer architecture, programming languages, machine learning and biology. His current focus is on approximate computing for efficient machine learning andDNA-based data storage. He co-directs the Molecular Information Systems Lab (MISL), the Systems and Architectures for Machine Learning lab (SAMPL) and the Sampa Lab for HW/SW co-design. He is a recipient of an NSF CAREER Award, a Sloan Research Fellowship, a Microsoft Research Faculty Fellowship, the IEEE TCCA young Computer Architect Award and UIUC Distinguished Alumni Award.
Carlos Guestrin
Carlos Guestrin is a Professor in the Computer Science Department at Stanford University. His previous positions include the Amazon Professor of Machine Learning at the Computer Science & Engineering Department of the University of Washington, the Finmeccanica Associate Professor at Carnegie Mellon University, and the Senior Director of Machine Learning and AI at Apple, after the acquisition of Turi, Inc. (formerly GraphLab and Dato) — Carlos co-founded Turi, which developed a platform for developers and data scientist to build and deploy intelligent applications. He is a technical advisor for OctoML.ai. His team also released a number of popular open-source projects, including XGBoost, LIME, Apache TVM, MXNet, Turi Create, GraphLab/PowerGraph, SFrame, and GraphChi. Carlos received the IJCAI Computers and Thought Award and the Presidential Early Career Award for Scientists and Engineers (PECASE). He is also a recipient of the ONR Young Investigator Award, NSF Career Award, Alfred P. Sloan Fellowship, and IBM Faculty Fellowship, and was named one of the 2008 ‘Brilliant 10’ by Popular Science Magazine. Carlos’ work received awards at a number of conferences and journals, including ACL, AISTATS, ICML, IPSN, JAIR, JWRPM, KDD, NeurIPS, UAI, and VLDB. He is a former member of the Information Sciences and Technology (ISAT) advisory group for DARPA.
Ravi Narayanaswami
Girish Venkataramani
Krste Asanovic
Krste is SiFive’s Chief Architect and a Co-Founder. He is also a Professor in the EECS Department at the University of California, Berkeley, where he also serves as Director of the ADEPT Lab. Krste leads the RISC‑V ISA project at Berkeley and is Chairman of the RISC‑V Foundation. He is an ACM Fellow and an IEEE Fellow. Krste received his PhD from UC Berkeley, and a BA in Electrical and Information Sciences from the University of Cambridge.
Ashwin Sakhare
Ashwin Sakhare, PhD is a Senior Data Scientist at Atos zData, a leading AI and Data Science firm. Ashwin leverages over a decade of industry and research experience to solve key business challenges through novel product development and data-driven machine learning approaches. He is a computer vision expert and has delivered AI and machine vision solutions to clients across a broad range of application domains. He has a strong healthcare industry background, where he led the ideation, design, and development of AI products. Ashwin holds a BS in Biomedical Engineering from North Carolina State University and a MS and PhD in Biomedical Engineering from the University of Southern California.
Nitza Basoco
Nitza Basoco is a technology leader with over 20 years of semiconductor experience. At proteanTecs, she leads the Business Development team, responsible for driving partnership strategies and building value-add ecosystem growth.
Previously, Nitza was the VP of Operations at Synaptics with responsibility for growing and scaling their worldwide test development, product engineering and manufacturing departments. Prior to Synaptics, Nitza spent a decade holding various leadership positions within the operations organization at MaxLinear, ranging from test development engineering to supply chain. Earlier in her career, Nitza served as a Principal Test Development Engineer for Broadcom Corporation and as a Broadband Applications Engineer at Teradyne.
Nitza holds MEng and BSEE degrees from Massachusetts Institute of Technology.
Dr. Charles Fan
Charles Fan is CEO and co-founder of MemVerge. Prior to MemVerge, Charles was the CTO of Cheetah Mobile leading its global technology teams, and an SVP/GM at VMware, founding the storage business unit that developed the Virtual SAN product. Charles also worked at EMC and was the founder of the EMC China R&D Center. Charles joined EMC via the acquisition of Rainfinity, where he was a co-founder and CTO. Charles received his Ph.D. and M.S. in Electrical Engineering from the California Institute of Technology, and his B.E. in Electrical Engineering from the Cooper Union.
Zaid Kahn
Zaid is currently GM in Cloud Hardware Infrastructure Engineering where he leads a team focusing on advanced architecture and engineering efforts for AI. He is passionate about building balanced teams of artists and soldiers that solve incredibly difficult problems at scale.
Prior to Microsoft Zaid was head of infrastructure engineering at LinkedIn responsible for all aspects of engineering for Datacenters, Compute, Networking, Storage and Hardware. He also lead several software development teams spanning from BMC, network operating systems, server and network fleet automation to SDN efforts inside the datacenter and global backbone including edge. He introduced the concept of disaggregation inside LinkedIn and pioneered JDM with multiple vendors through key initiatives like OpenSwitch, Open19 essentially controlling destiny for hardware development at LinkedIn. During his 9 year tenure at LinkedIn his team scaled network and systems 150X, members from 50M to 675M, and hiring someone every 7 seconds on the LinkedIn Platform.
Prior to LinkedIn Zaid was Network Architect at WebEx responsible for building the MediaTone network and later I built a startup that built a pattern recognition security chip using NPU/FPGA. Zaid holds several patents in networking and SDN and is also a recognized industry leader. He previously served as a board member of the Open19 Foundation and San Francisco chapter of Internet Society. Currently he serves on DE-CIX and Pensando advisory boards.
Sree Ganesan
Sree Ganesan leads Software Product Management at Habana Labs, working alongside a diverse global team to deliver state-of-the-art deep learning capabilities of the Habana SynapseAI® software suite to the market. Previously, she was Engineering Director in Intel’s AI Products Group, where she was responsible for AI software strategy and deep learning framework integration for Nervana NNP AI accelerators. Ms. Ganesan joined Intel in 2001 and has held a variety of technical and management roles in software engineering, VLSI CAD and SOC design methodology. Ms. Ganesan received a bachelor’s degree in electrical engineering from the Indian Institute of Technology Madras, India and a PhD in computer engineering from the University of Cincinnati, Ohio.
Shivam Bharuka
Shivam is an engineering leader with Meta as part of the AI Infrastructure team for the last three years. During this time, he has helped scale the machine learning training infrastructure at Meta to support large scale ranking and recommendation models, serving more than a billion users. He is responsible for driving performance, reliability, and efficiency-oriented designs across the components of the ML training stack at Meta. Shivam holds a B.S. and an M.S. in Computer Engineering from the University of Illinois at Urbana-Champaign.
Mo Faisal
Prior to founding Movellus, Mo held positions at semiconductor companies including Intel and PMC Sierra. He received his B.S. from the University of Waterloo, and his M.S. and Ph.D. from the University of Michigan, and holds several patents. Mo was named a “Top 20 Entrepreneur” by the University of Michigan Zell Lurie Institute.
Salvador Alvarez
- Salvador Alvarez is the Senior Manager of Product Planning at Achronix, coordinating the research, development, and launch of new Achronix products and solutions. With over 20 years of experience in product growth, roadmap development, and competitive intelligence and analysis in the semiconductor, automotive, and edge AI industries, Sal Alvarez is a recognized expert in helping customers realize the advantages of edge AI and deep learning technology over legacy cloud AI approaches. Sal holds a B.S. in computer science and electrical engineering from the Massachusetts Institute of Technology.
Karthee Madasamy
Philipp Schmid
Régis Pierrard
Brett Simpson
Brett Simpson is a co-founder of Arete (formed in 2000) and is based in the firm's London office. He focuses on the global semiconductor component sector. Brett is a regular public speaker at industry events and after 17 years looking at the sector, has a wealth of experience to draw on. Prior to Arete, Brett spent two years at Goldman Sachs in an equity analyst role, specialising in European technology following three years with Ericsson UK, working in business development, covering all aspects of wireline and wireless telecom infrastructure.
Jian Zhang
Sriraman Chari
Manish Pandey
Manish Pandey is Vice President R&D and Fellow at Synopsys, and an Adjunct Professor at Carnegie Mellon University. He completed his PhD in Computer Science from Carnegie Mellon University and a B. Tech. in Computer Science from the Indian Institute of Technology Kharagpur. He currently leads the R&D teams for formal and static technologies, and machine learning at Synopsys. He previously led the development of several static and formal verification technologies at Verplex and Cadence which are in widespread use in the industry. Manish has been the recipient of the IEEE Transaction in CAD Outstanding Young author award and holds over two dozen patents and refereed publications.
Rashid Attar
Rashid Attar joined Qualcomm, San Deigo, CA, USA, and has involved in various aspects CDMA wireless data (EV-DO) and voice systems (IS-95, 1x-Advanced) in 1996, where he was the Project Engineer of CDMA2000-advanced from 2009 to 2013 and CDMA Modem Systems Lead at QCT from 20 through 2013. From 2014 to mid-2016, he led the ultra-low-power ASIC platform project. He is currently a Vice President Engineering with Corporate Research and Development, Qualcomm. He leads the ASIC and Hardware Department in Qualcomm Research. The Qualcomm Research portfolio consists of Communications (5G, Cellular V2X, Satellite Communications, Wi-Fi, and Industrial Internet of Things), ASIC and HW Research and Development, and Embedded IoE systems (Always on computer vision, Autonomous Driving, Robotics, and AR/VR). The ASIC and Hardware Group Research and Development portfolio consists of 5G (RFICs, PAs, Interfaces, Packaging), processors (CPUs, Programmable deep learning accelerators), ultra-low-power platform (processor, communications, memory, machine learning accelerators, power management, wireless charging), core CMOS Research and Development (3-DIC and Thermal-aware designs), and Antenna Design. He holds approximately 160 granted U.S. patents
Anthony Wood
Anthony has held a number of a design and verification roles working on CPUs, GPUs and IPUs at Infineon, Xmos, Imagination and Graphcore. At Imagination he was head of verification for the high-end GPU cores. At Graphcore his responsibilities include leveraging formal verification techniques throughout the silicon team; reducing delivery timescales through Continuous Delivery; and working to ensure verification disciplines are adopted for DFT. He strives to find ways of improving the productivity of silicon engineers and of course he agonises about potential verification holes.
Prasun Raha
Ade Bamidele
Ade is an Architect in the Tensilica Central Applications Team. Ade focuses on the optimization and acceleration of imaging and vision algorithms on Vision and AI DSP and engines. He has over 15 years of experience in the R&D and optimization of computer vision and pattern recognition algorithms on vision and embedded devices. Ade graduated from University College London in 2006 with a Doctoral in Electronics Engineering and Thesis focusing on Computational Visual Attention.
Michael Hubrig
Michael is Sr. Architect in the Tensilica Central Applications Team. His team provides deep technical support for Vision and AI DSP and engines. Michael has 20 years of experience porting imaging and vision algorithms to DSP platforms.
Rohan Darole
Rohan Darole is a ML Product Specialist at Cadence TIP (Tensilica IP Group). He received his Master’s in Computer Science from SUNY-UB, Buffalo, NY. Rohan is leading a team of application engineers responsible for definition, realization, and customer engagements of Tensilica AI MAX Product Family. Previously he has worked on CV/ML Acceleration with Vision DSPs, Imaging (ISP) & Video Codecs SW Development.
Salvador Alvarez
- Salvador Alvarez is the Senior Manager of Product Planning at Achronix, coordinating the research, development, and launch of new Achronix products and solutions. With over 20 years of experience in product growth, roadmap development, and competitive intelligence and analysis in the semiconductor, automotive, and edge AI industries, Sal Alvarez is a recognized expert in helping customers realize the advantages of edge AI and deep learning technology over legacy cloud AI approaches. Sal holds a B.S. in computer science and electrical engineering from the Massachusetts Institute of Technology.
Nikunj Kotecha
Nikunj Kotecha is a Machine Learning Solutions Architect at BrainChip Inc. Currently, he works on developing and optimizing Machine Learning algorithms for the AkidaTM neuromorphic hardware. He also demonstrating capabilities of AkidaTM to client and supports with their neuromorphic solutions for AkidaTM. He has a Master of Science in Computer Science, where he specialized in concepts of Artificial intelligence with Deep Learning algorithms. At the time, he was a part of the Machine Learning lab and has published technical papers, supported research into different avenues of AI. He published research on Cross-Modal Fusion with Transformer architecture for Sign Language translation during the completion of his Masters. He has also worked at Oracle, where he build and integrated Machine Learning solutions to provide operational benefits of using Oracle Clinical Trial software.
Wahid Bhimji
Wahid Bhimji is acting Group Lead and a Big Data Architect in the Data and Analytics Services Group at NERSC. His interests include machine learning and data management. Recently he led several projects applying AI for science including deep learning at scale, generative models and probabilistic programming. He coordinates aspects of machine learning deployment for the Lab's CS-Area and NERSC: including the upcoming Perlmutter HPC system and plans for future NERSC machines. Previously he was user lead for the commissioning of Cori Phase 1, particularly data services, and for the Burst Buffer. Wahid has worked for many years in Scientific Computing and Data Analysis in Academia and the U.K. Government and has a Ph.D. in High-Energy Particle Physics.
Barrie Mullins
Barrie has 25+ years of experience working with edge, embedded and AI systems across multiple industries including industrial, automotive, robotics, storage, and communications. Previously, he spent a year at Blaize as head of marketing, and three years at NVIDIA where he led the Jetson Product Marketing team. Prior to NVIDIA, he held multiple roles in Xilinx, including leading product marketing and management for the Zynq product line, sales enablement, business development, customer program management and managing design services. Barrie moved to the United States in 2007 from Ireland, where he worked for Xilinx and two starts ups, Raidtec Corp. and Eurologic Systems, in the Data Storage space where he holds three patents.
Barrie received his EE from the Munster Technological University, an ME from University College Dublin and an MBA from Santa Clara University’s Leavey School of Business.
Euicheol Lim
Euicheol Lim is a Research Fellow and leader of system architecture team in memory system research, SK hynix. He received the B.S. degree and the M.S. degree from Yonsei University, Seoul, Korea, in 1993 and 1995, and the Ph.D. degree from Sungkyunkwan University, suwon, Korea in 2006. Dr. Lim joined SK Hynix in 2016 as a system architect in memory system research. Before joining SK Hynix, he had been working as an SoC architect in Samsung Electronics and leading the architecture of most Exynos mobile SoC series. His recent interesting point is memory and storage system architecture for AI and Big data system with various new media memory.
Jim von Bergen
Sumti Jairath
Sumti Jairath is Chief Architect at SambaNova Systems, with expertise in hardware-software co-design. Sumti worked on PA-RISC-based Superdome servers back at HP, followed by several generations of SPARC CMT processors at Sun Microsystems and Oracle. At Oracle, Sumti worked on SQL, Data-analytics and Machine Learning acceleration in SPARC processors. Sumti holds 27 patents in computer architecture and hardware-software co-design.
Shubho Sengupta
Shubho Sengupta is a Software Engineer at Meta, where he designs Meta’s Research Infra for AI training. He started working on AI in 2014, on speech related AI models like DeepSpeech and DeepVoice. Before that he pioneered many of the foundational algorithms in general purpose programming in GPUs, which has won Test of Time award. These days, he also works at the intersection of cryptography and computation, specifically in bi-partite and multi-partite matching algorithms.
Ritu Goel
Ritu Goel is Director of Product Management at Adobe, where she has been driving strategy for AI/ML platform since its early days with the vision of democratizing AI/ML development at Adobe. Prior to this, Ritu has spent more than a decade leading product strategy and execution of various enterprise to consumer products and platforms at eBay, Macys.com and Infosys. Ritu has a bachelor of engineering from Indian Institute of Technology, Roorkee.
Matt Fyles
Matt Fyles is a computer scientist with over 20 years of proven experience in the design, delivery and the support of software and hardware within the microprocessor market. As SVP Software at Graphcore, Matt has built the company’s Poplar software stack from scratch, co-designed with the IPU for machine intelligence. He currently oversees the Software team’s work on the Poplar SDK, helping to support Graphcore’s growing community of developers.
David Tai
Bing Yu
Bing Yu is a Sr. Technical Director at Andes Technology. He has over 30 years of experience in technical leadership and management, specializing in machine learning hardware, high performance CPUs and system architecture. In his current role, he is responsible for processor roadmap, architecture, and product design. Bing received his BS degree in Electrical Engineering from San Jose State University and completed the Stanford Executive Program (SEP) at the Stanford Graduate School of Business.
Tim Santos
Tim is leading the Developer Relations in Graphcore to help the AI & ML community achieve maximum success with IPUs and make the next breakthroughs in machine intelligence. Tim has worn many developer hats in his career, from being a research engineer, data scientist and leading MLOps teams. Along the way, he’s gained experience across all stages of the development lifecycle taking AI applications from experimentation to deployment. If you’re looking to try out IPUs, learn more about our Poplar SDK and tools, showcase your innovations, connect with the community, request educational resources, or provide feedback on our technology, then Tim is your champion.
Rodrigo Liang
Rodrigo is CEO and co-founder of SambaNova Systems. Prior to joining SambaNova, Rodrigo was responsible for SPARC Processor and ASIC Development at Oracle. He led the engineering organization responsible for the design of state-of-the-art processors and ASIC's for Oracle's enterprise servers.
Nick Ni
Nick Ni is Senior Director, Data Center AI and Compute Markets at Adaptive Embedded Computing Group (AECG) at AMD, responsible for the P&L of the fast-growing Data Center AI and compute segment. His team is responsible for product marketing and product management including AI product planning, go-to-market, business development and solution architecture.
Vamsi Nalluri
Vamsi is ML HW Architect at Rivian, and has 17 years of experience in the semiconductor industry working on architecture, verification, and validation.
He most recently was at Xilinx, where he has accelerated sparse neural networks to achieve 3X hardware performance improvement on the 7nm flagship technology platform from Xilinx on many of the industry standard networks like ResNetv50, Yolo and other CNN benchmarks.
Prior to that, he has architected and trained dataflow implementations of quantized and mixed precision neural networks at Intel.
He graduated from IIT Madras with a B.Tech in Electrical Engineering and is a big tennis fan - which includes playing and watching
Hui Wang
Samir Kumar
Samir is a managing director at M12, leading investments globally where artificial intelligence or machine learning is a key point of leverage.
He also stewards the fund’s Vanguard Bets investment category—startups aiming for breakthroughs that will result in generational shifts in the technology landscape. Samir’s other investment focuses include quantum computing, robotics, autonomous systems, transportation and silicon—especially for AI. Samir manages a team developing theses for new technology areas and oversees the fund’s technical and scientific advisory board.
Prior to joining M12, Samir was a senior director of business development and product management in Qualcomm’s corporate R&D division. There, he led early-stage product validation, partnerships, acquisitions, and strategy for embedded machine learning, computer vision and heterogeneous computing. Samir started his career at Microsoft, where he spent several years leading product management and product planning efforts for enterprise mobility before joining Palm and Samsung.
Samir is a regular conference speaker on his investment focus areas. He has served on or moderated panels of VCs and subject matter experts at LDV Vision Summit, tinyML Summit, and Cybersec&AI Connected.
Vinay Palakkode
“Vinay Palakkode is a senior staff machine learning engineer and manages a team of deep learning researchers and engineers at Rivian Automotive’s self-driving organization. Vinay holds a master’s degree in electrical and computer engineering from Carnegie Mellon University. He specializes in perception for robotics and high-performance computing. Vinay held prior engineering and management positions at Apple’s Technology Development Group (TDG) and Special Projects Groups (SPG).”
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Previous Partners
Headline Partner
Synopsys
Website: www.synopsys.com
Smart, Secure Everything—From Silicon to Software
Synopsys technology is at the heart of innovations that are changing the way we live and work. The Internet of Things. Autonomous cars. Wearables. Smart medical devices. Secure financial services. Machine learning and computer vision. These breakthroughs are ushering in the era of Smart, Secure Everything―where devices are getting smarter, everything’s connected, and everything must be secure.
Powering this new era of technology are advanced silicon chips, which are made even smarter by the remarkable software that drives them. Synopsys is at the forefront of Smart, Secure Everything with the world’s most advanced tools for silicon chip design, verification, IP integration, and application security testing. Our technology helps customers innovate from Silicon to Software, so they can deliver Smart, Secure Everything.
Platinum Partners
Atos
Website: https://atos.net/thinkai
Atos is a global leader in digital transformation with 109,000 employees and annual revenue of c. € 11 billion. European number one in cybersecurity, cloud and high performance computing, the Group provides tailored end-to-end solutions for all industries in 71 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea), listed on Euronext Paris and included in the CAC 40 ESG and Next 20 Paris Stock indexes.
The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
Cadence
Website: www.cadence.com
Cadence’s goal is to empower engineers at semiconductor and systems companies to create innovative, intelligent, and highly differentiated electronic products that transform the way people live, work, and play. The company’s Intelligent System Design strategy helps customers develop differentiated products—from chips to boards to systems—in AI, IoT, mobile, 5G, consumer, cloud, data center, automotive, aerospace, and other market segments. Cadence offers specialized IP with industry-leading performance, power efficiency, and interconnects, as well as AI-specific verification and implementation solutions. The company also employs machine learning within its tools and solutions to enable the best power, performance, and area (PPA), quality of results (QoR), and time-to-market (TTM) benefits.
Graphcore
Website: https://www.graphcore.ai/
We’re optimistic for a future where people live healthier, more informed, more creative lives. We see a world where technology enhances human potential, and takes us into a new era of intelligence and progress that everyone can benefit from.
We let innovators create the next breakthroughs in machine intelligence.
We believe our Intelligence Processing Unit (IPU) technology will become the worldwide standard for machine intelligence compute. The Graphcore IPU is going to be transformative across all industries whether you are a medical researcher, roboticist or building autonomous cars.
We have created a completely new processor, the IPU, specifically designed for AI compute. The IPU’s unique architecture lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next advances in machine intelligence.
SambaNova
Website: https://www.sambanovasystems.com/
We are a computing startup focused on building the industry’s most advanced systems platform to run AI applications from the datacenter to the edge.
Siemens
Website: https://www.siemens.com/global/en.html
Siemens is rapidly expanding our number one position in digital industrial software to enable our customers to swiftly advance in their digital transformation. With the un-matched breadth and depth of the Siemens Xcelerator portfolio, Siemens is enabling customers to leverage AI to break down the barriers between their electrical, mechanical and software design silos, between their design, manufacturing, and ERP silos within all markets. It enables customers to bridge the virtual and physical design and manufacturing worlds, empowering customers to rapidly evolve from systems to market-leading ecosystems companies so they can leverage AI to engineer a smarter future faster – and deliver smart products, factories, infrastructure, and cities – for us all.
Meet & Greet Partner
Gold Partners
Achronix
Website: https://www.achronix.com/
Achronix is a leading manufacturer of FPGA and eFPGA IP data acceleration solutions specifically tuned for high-performance AI and ML applications. FPGAs are paving the way for the next era in AI applications and the ubiquitous building blocks for AI deployments from the cloud, to the edge to IoT. Our revolutionary new 7nm Speedster®7t FPGAs and Speedcore™ eFPGA IP are optimized for high-bandwidth workloads and eliminate the performance bottlenecks associated with traditional FPGAs.
Delivering ASIC-like performance, Speedster7t FPGAs are highly configurable, highly flexible compute engines. Built with high-performance 112Gbps transceivers, high-bandwidth GDDR6 interfaces, and high-speed PCIe Gen5 ports, Speedster7t FPGAs provide the high speed data and memory interfaces necessary for AI/ML applications. The Speedster7t FPGAs also feature a new machine learning processor (MLP) which supports new AI/ML number formats such as block floating port and provides >80 TOPs performance.
Achronix’ Speedcore eFPGA IP brings the power and flexibility of programmable logic to ASICs and SoCs. Speedcore IP can be seamlessly integrated into a custom design and is the only eFPGA technology shipping in high-volume production today. With Speedcore IP, customers define both resource counts and mix for logic, embedded memory blocks, MLP, and DSP blocks at up to 90% cost savings vs. traditional standalone FPGA solutions.
Visit achronix.com to learn more about our FPGA technology optimized for AI/ML applications.
Applied Brain Research
Website: https://appliedbrainresearch.com/
Please visit our website for more information.Brainchip
Website: https://brainchipinc.com/miss-the-bus/
BrainChip is a global technology company that has developed a revolutionary advanced neural networking processor that brings artificial intelligence to the edge in a way that existing technologies are not capable. The solution is high performance, small, ultra-low power and enables a wide array of edge capabilities that include continuous learning and inference. The company markets an innovative event-based neural network processor that is inspired by the spiking nature of the human brain and implements the network processor in an industry standard digital process. By mimicking brain processing BrainChip has pioneered an event domain neural network processor, called Akida™, which is both scalable and flexible to address the requirements in edge devices. At the edge, sensor inputs are analyzed at the point of acquisition rather than transmission to the cloud or a datacenter. The Akida neural processor is designed to provide a complete ultra-low power Edge AI network processor for vision, audio and smart transducer applications. The reduction in system latency provides faster response and a more power efficient system that can help reduce the large carbon footprint of datacenters.
Cerebras
Website: https://www.cerebras.net/industry-pharma/
Cerebras Systems makes the world’s most powerful AI accelerator, removing roadblocks to biomedical research, drug discovery and data-driven healthcare. Our CS-2 system is doing groundbreaking work at leading institutions including GlaxoSmithKline, AstraZeneca, and Argonne National Laboratory. We offer cluster-scale deep learning acceleration in a single, easy-to-program device, so your researchers can focus on medical innovation, not on working around the limitation of traditional computing systems.
Flex Logix
Website: www.flex-logix.com
Flex Logix’ NMAX inferencing accelerators provide very high throughput and hardware utilization even at batch size = 1, with low system cost and system power.
NMAX MAC utilization is over 50% even at batch size = 1. For most inferencing engines utilization drops dramatically from batch 10 to batch 1 because they stall loading weights. High MAC utilization means less silicon area needed for the same throughput.
NMAX uses proprietary Flex Logix interconnect technology to utilize local, distributed SRAM very efficiently generating very high local bandwidth and dropping DRAM bandwidth requires to that of 1 or 2 LPDDR4 DRAMs, even for YOLOv3 at 30 frames/second. This lowers power and lowers cost.
NMAX will be available in TSMC16FFC/12FFC in mid 2019.
Habana
Website: www.habana.ai
Habana is an AI solutions semiconductor company. Eitan is Habana’s Chief Business Officer and will share with us Habana’s vision of the AI/Deep-learning processing needs and Habana’s solutions.
Moffett AI
Website: https://moffett.ai/
Moffett AI: The Sparse Computing Company
Moffett AI is the leader in sparse AI computing, dedicated to providing AI computing platforms and services, with a mission to keep evolving the frontiers of AI using sparse computing.
The inventor of the dual sparsity algorithm, Moffett AI has the world's leading sparse computing techniques with more than 30 patents worldwide. The company creates a new generation of AI computing platform with hardware and software co-design to achieve order-of-magnitude acceleration of computing performance with low cost.
Moffett AI brings low latency, low power consumption and cost-effective computing service to the industry without compromising on accuracy. Moffett AI helps customers significantly reduce their TCO (Total Cost of Ownership) of AI computing while meeting the growing demand for AI computing, and enabling greener and more sustainable AI computing to benefit society.
Mythic
Website: www.mythic-ai.com
BRINGING NEXT-LEVEL AI TO EVERY DEVICE CONSTANT EVOLUTION
Mythic envisions a world where every device is intelligent, with human-like senses and high-level understanding of the environment around it. To realize this we built a team of top talent who bring decades of industry experience from across the entire computing spectrum – empowering everyone to challenge assumptions and eliminate the barriers to achieving our mission. They’ve gone beyond conventional digital architectures, memory, and calculation elements – rethinking everything from the ground up: from transistors and physics, through circuits and systems, up to software and AI algorithms. The result: Powerful life-enhancing AI that customers can push into anything – from fitness bands and hearing aids to self-driving cars and robotic drones.
proteanTecs
Website: https://www.proteantecs.com/
proteanTecs develops revolutionary Universal Chip Telemetry™ (UCT) for electronic systems throughout their entire lifecycle, increasing their performance and reliability. By applying machine learning to novel data created by on-chip UCT Agents™, proteanTecs provides meaningful insights and visibility unattainable until today, leading to new levels of quality, reliability and scale. Founded in 2017, the company is headquartered in Israel with offices in New Jersey, California and Taiwan.
Qualcomm
Website: www.qualcomm.com
We are engineers, scientists and business strategists. We are from many different countries and speak many different languages. We come from diverse cultures and have unique perspectives. Together, we focus on a single goal—invent mobile technology breakthroughs.
Rambus
Website: https://www.rambus.com/
Rambus is a provider of industry-leading chips and silicon IP making data faster and safer. With over 30 years of advanced semiconductor experience, we are a pioneer in high-performance memory subsystems that solve the bottleneck between memory and processing for data-intensive systems. Whether in the cloud, at the edge or in your hand, real-time and immersive applications depend on data throughput and integrity. Rambus products and innovations deliver the increased bandwidth, capacity and security required to meet the world’s data needs and drive ever-greater end-user experiences. For more information, visit rambus.com.
Exhibitors
Mikros
Website: https://www.mikrostechnologies.com/
High Performance Liquid Cooling over 1kW/cm2
We design and manufacture optimized thermal management solutions for high heat flux AI and HPC applications. Our patented Normal Flow™ microchannel and mini-channel liquid cold plates provide industry-leading low thermal resistances pressure drop, giving designers greater thermal budgets to improve the performance, packaging, and reliability of their systems.
Born 30 years ago from a project to cool the Space Station with NASA Johnson Space Center, the Mikros design team seeks the most difficult cooling challenges to develop cutting edge solutions to common thermal performance limitations accommodating multiple heat zones, geometries, materials, TIM and pressure distribution needs. All Mikros cold plate designs are prototyped, tested and manufactured at our facilities in New Hampshire, USA.
Event Partners
Amphenol
Website: https://amphenol.com/
Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world
leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial
electronics markets. Amphenol Corporation is one of the world’s largest designers and
manufacturers of electrical, electronic and fiber optic connectors and interconnect systems,
antennas, sensors and sensor-based products and coaxial and high-speed specialty cable.
ACS has an expansive global presence in research and development, manufacturing, and
sales. We design and manufacture a wide range of innovative connectors as well as cable
assemblies for diverse applications including server, storage, data center, mobile, RF,
networking, industrial, business equipment and automotive.
Andes Technology
Website: http://www.andestech.com/en/homepage/
Please visit our website for more information.EdgeCortix
Website: https://www.edgecortix.com/
EdgeCortix is a fabless semiconductor design company focused on enabling energy-efficient edge intelligence. Founded in 2019 with the radical idea of taking a software first approach, while designing an artificial intelligence specific runtime reconfigurable processor from the ground up using a technique called “hardware & software co-exploration”. Targeting advanced computer vision applications first, using proprietary hardware and software IP on existing processors like Field Programmable Gate arrays (FPGAs) and custom designed Application Specific Integrated Circuits (ASICs), the company is geared towards positively disrupting the rapidly growing AI hardware space across defense, aerospace, smart cities, industry 4.0, autonomous vehicles and robotics.
Malico Inc.
Website: https://www.malico.com/
Malico Inc. was established in 1983 as an advanced thermal solution provider. Over the years, Malico has grown and expanded significantly in related fields and is now a major metal forming company in Taiwan. To fulfill customer demand varieties, the in-house factory is equipped with a high precision CNC center, die casting center, metal injection molding center, painting center (powder and liquid coating), and core thermal solution cold forge center. In addition, quality has always been Malico’s core value (ISO 9001, ISO 14001, IATF 16949 certified, and RoHS compliant). We commit to providing premium quality services, cost-effective product variabilities, and long-term customer partnerships.
Malico is fully engaged with customers from the design initiation phase all the way to rapid prototyping and production ramping. We offer customized solutions, prompt customer communications, short lead time, and quality assurance to ensure customer product on-time delivery. There are several local North American sales offices available to ensure timely support and communication to local customers.
Further details can be provided upon request.
Samtec
Website: http://www.samtec.com
Founded in 1976, Samtec is a privately held, $822 MM global manufacturer of a broad line of electronic interconnect solutions, including High-Speed Board-to-Board, High-Speed Cables, Mid-Board and Panel Optics, Precision RF, Flexible Stacking, and Micro/Rugged components and cables. With 40+ location severing approximately 125 countries, Samtec’s global presence enables its unmatched customer service.
Headline Content Partner
RISC-V
Website: https://riscv.org/
RISC-V International is the non-profit home of the open standard RISC-V Instruction Set
Architecture (ISA), related specifications, and stakeholder community. More than 2,900 RISC-V
members across 70 countries contribute and collaborate to define RISC-V open specifications as
well as convene and govern related technical, industry, domain, and special interest groups.
RISC-V combines a modular technical approach with an open, royalty-free license model --
meaning that anyone, anywhere can benefit from the IP contributed and produced by RISC-V.
RISC-V enables the community to share technical investment, contribute to the strategic future,
create more rapidly, enjoy unprecedented design freedom, and substantially reduce the cost of
innovation. To learn more, visit www.riscv.org.
Content Partner
Media & Association Partners
HPCwire
Website: https://www.hpcwire.com/
HPCwire is the #1 news and information resource covering the fastest computers in the world and the people who run them. With a legacy dating back to 1987, HPC has enjoyed more than three decades of world-class editorial and topnotch journalism, making it the portal of choice selected by science, technology and business professionals interested in HPC, AI and data-intensive computing. For topics ranging from late-breaking news and emerging technologies in HPC, to new trends, expert analysis, and exclusive features, HPCwire delivers it all and remains the HPC community’s most reliable and trusted resource. Visit www.hpcwire.com.
InsideHPC
Website: https://insidehpc.com/
Founded in 2006, insideHPC is globally recognized for its thorough and insightful coverage across the HPC community, providing a bridge linking readers among vendors, users and HPC strategists with a following that includes public and private companies of all sizes, government agencies, research centers, industry analysts and academic institutions. In short: the buyers and influencers of HPC, HPC-AI and associated emerging technologies.
THE News Analysis Site for HPC Insiders. We’re all about HPC, but like the emerging HPC ecosystem, insideHPC is evolving with a number of important updates and topic focus areas coming later in 2022. To better serve our growing readership and advertising base, insideHPC will deliver an updated format and featured spotlight coverage of the emerging markets of enterprise HPC, HPC-AI, exascale (and post-exascale) supercomputing, quantum computing, cloud HPC, edge computing and High Performance Data Analytics. Our mission is to cover every aspect of HPC.
Written and edited by seasoned HPC journalists, insideHPC represents the many voices of the global HPC community: where HPC is today and where it’s going.
IoT Global Network
Website: www.iotglobalnetwork.com
IoT Global Network
Discover the world of IoT.
IoT Global Network is the ultimate intelligence platform for the global machine-to-machine communication value chain.
IoT Global Network serves as an invaluable source of information for IoT decision makers in all areas of industry and public services, including consumer-related, energy, financial, industrial, healthcare, security and transportation, – and anyone else who would like to learn more about how the Internet of Things will shape tomorrow’s society.
Discover. Learn. Connect. Engage.
Edge IR
Website: http://www.edgeir.com
Edge Industry Review (EdgeIR.com) is a news, analysis and industry resource website documenting the changes taking place on the edge of the internet infrastructure market – the present and the future of the Edge Computing ecosystem.
Khronos Group
Website: https://www.khronos.org/
The Khronos Group is an open, non-profit, member-driven consortium of over 150 industry-leading companies creating advanced, royalty-free interoperability standards for 3D graphics, augmented and virtual reality, parallel programming, vision acceleration and machine learning. Khronos standards include Vulkan®, Vulkan® SC, OpenGL®, OpenGL® ES, OpenGL® SC, WebGL™, SPIR-V™, OpenCL™, SYCL™, OpenVX™, NNEF™, OpenXR™, 3D Commerce™, ANARI™, and glTF™. Khronos members are enabled to contribute to the development of Khronos specifications, are empowered to vote at various stages before public deployment and are able to accelerate the delivery of their cutting-edge accelerated platforms and applications through early access to specification drafts and conformance tests.
AI Magazine
Website: https://aimagazine.com/
AI connects your brand with the world’s leading executives in the fields of AI strategy, machine learning and digitally disruptive technologies – thought leaders and innovators driving this pioneering sector. They are the trusted authority at the cutting-edge of developments in artificial intelligence, machine learning and automation; guiding the business leaders, influencers and disruptors that are shaping the industry.
Technology Magazine
Website: https://technologymagazine.com/
Technology Magazine connects the world’s largest technology brands and their most senior executives with the latest trends, industry insight, and influential projects as the world embraces technology and digital transformation. Technology Magazine is an established, trusted, and leading voice on all things technology – engaging with a highly targeted audience of global executives. They provide the perfect platform for you to showcase your products and services, share your achievements, and enhance your reputation in the industry.
Edge AI Summit Partners
Atos
Website: https://atos.net/thinkai
Atos is a global leader in digital transformation with 109,000 employees and annual revenue of c. € 11 billion. European number one in cybersecurity, cloud and high performance computing, the Group provides tailored end-to-end solutions for all industries in 71 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea), listed on Euronext Paris and included in the CAC 40 ESG and Next 20 Paris Stock indexes.
The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
Brainchip
Website: https://brainchipinc.com/miss-the-bus/
BrainChip is a global technology company that has developed a revolutionary advanced neural networking processor that brings artificial intelligence to the edge in a way that existing technologies are not capable. The solution is high performance, small, ultra-low power and enables a wide array of edge capabilities that include continuous learning and inference. The company markets an innovative event-based neural network processor that is inspired by the spiking nature of the human brain and implements the network processor in an industry standard digital process. By mimicking brain processing BrainChip has pioneered an event domain neural network processor, called Akida™, which is both scalable and flexible to address the requirements in edge devices. At the edge, sensor inputs are analyzed at the point of acquisition rather than transmission to the cloud or a datacenter. The Akida neural processor is designed to provide a complete ultra-low power Edge AI network processor for vision, audio and smart transducer applications. The reduction in system latency provides faster response and a more power efficient system that can help reduce the large carbon footprint of datacenters.
Ceva
Website: https://www.ceva-dsp.com/
CEVA is the leading licensor of wireless connectivity and smart sensing technologies. We offer Digital Signal Processors, AI processors, wireless platforms and complementary software for sensor fusion, image enhancement, computer vision, voice input and artificial intelligence, all of which are key enabling technologies for a smarter, connected world. We partner with semiconductor companies and OEMs worldwide to create power-efficient, intelligent and connected devices for a range of end markets, including mobile, consumer, automotive, robotics, industrial and IoT.
XMOS
Website: https://www.xmos.ai/
XMOS is a deep tech company at the leading edge of the artificial intelligence of things (AIoT).
Since its inception in 2005, XMOS has had its finger on the pulse – recognising the evolving market need for flexible compute to serve an ever-widening range of applications including voice, imaging, and ambient sensing.
The company’s uniquely flexible xcore® processors put intelligence, connectivity, and enhanced computation at the core of smart products, enabling product designers to architect system-on-chip solutions purely in software. Their xcore®.ai processor delivers high performance AI, DSP, control and IO in a single device.
XMOS enables customers to get to market faster with differentiated systems that are cost-effective and energy efficient.
Dolphin Design
Website: https://www.dolphin-design.fr/
Please visit our website for more information.EdgeCortix
Website: https://www.edgecortix.com/
EdgeCortix is a fabless semiconductor design company focused on enabling energy-efficient edge intelligence. Founded in 2019 with the radical idea of taking a software first approach, while designing an artificial intelligence specific runtime reconfigurable processor from the ground up using a technique called “hardware & software co-exploration”. Targeting advanced computer vision applications first, using proprietary hardware and software IP on existing processors like Field Programmable Gate arrays (FPGAs) and custom designed Application Specific Integrated Circuits (ASICs), the company is geared towards positively disrupting the rapidly growing AI hardware space across defense, aerospace, smart cities, industry 4.0, autonomous vehicles and robotics.
Expedera
Website: https://www.expedera.com/
Expedera provides scalable neural engine semiconductor IP that enables major improvements in performance, power, and latency while reducing cost and complexity in AI-inference applications. Third-party silicon-validated, Expedera’s solutions produce superior performance and are scalable to a wide range of applications from edge nodes and smartphones to automotive and data centers. Expedera’s Origin™ deep learning accelerator products are easily integrated, readily scalable, and can be customized to application requirements. The company is headquartered in Santa Clara, California.
Flex Logix
Website: www.flex-logix.com
Flex Logix’ NMAX inferencing accelerators provide very high throughput and hardware utilization even at batch size = 1, with low system cost and system power.
NMAX MAC utilization is over 50% even at batch size = 1. For most inferencing engines utilization drops dramatically from batch 10 to batch 1 because they stall loading weights. High MAC utilization means less silicon area needed for the same throughput.
NMAX uses proprietary Flex Logix interconnect technology to utilize local, distributed SRAM very efficiently generating very high local bandwidth and dropping DRAM bandwidth requires to that of 1 or 2 LPDDR4 DRAMs, even for YOLOv3 at 30 frames/second. This lowers power and lowers cost.
NMAX will be available in TSMC16FFC/12FFC in mid 2019.
GrAI Matter Labs
Website: https://www.graimatterlabs.ai/
At GrAI Matter Labs we are in the business of Life-Ready AI. Artificial Intelligence as close to natural as it gets. AI that feels alive. We deliver brain-inspired chips that behave like humans do. AI that makes machines assisting humans act, and react, in real time. AI that optimizes energy and maximizes efficiency, saving time, money, and vital natural resources. Welcome to an AI-Ready future, where smart speakers, autonomous vehicles, robots, drones, augmented reality devices, surveillance cameras and more, make us more productive. Welcome to an optimized future!
Mythic
Website: www.mythic-ai.com
BRINGING NEXT-LEVEL AI TO EVERY DEVICE CONSTANT EVOLUTION
Mythic envisions a world where every device is intelligent, with human-like senses and high-level understanding of the environment around it. To realize this we built a team of top talent who bring decades of industry experience from across the entire computing spectrum – empowering everyone to challenge assumptions and eliminate the barriers to achieving our mission. They’ve gone beyond conventional digital architectures, memory, and calculation elements – rethinking everything from the ground up: from transistors and physics, through circuits and systems, up to software and AI algorithms. The result: Powerful life-enhancing AI that customers can push into anything – from fitness bands and hearing aids to self-driving cars and robotic drones.
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