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AI Vendors

AI Hardware & Edge AI Summit Europe
18-19 June, 2024
etc.venues, St Paul's 200 Aldersgate St, London

Why should AI Vendors Attend the AI Hardware & Edge AI Summit?

The AI Hardware & Edge AI Summit is the perfect platform for vendors to gain exposure to the AI industry. Our speakers and attendees are leading experts and practitioners from across a broad range of industries, with 35% of the audience stemming from finance, pharma, manufacturing, automotive, retail, communications and other enterprises.

We have a diverse network of vendors across our community and have a successful history of launching some of the industry’s most successful startups, with our first being Habana Labs in 2018 who emerged from stealth at our first summit, Axelera AI in 2022, Neuchips in 2023 and many more.

We’ve also provided a platform for some of the most successful companies in the semiconductor and AI industry to launch and amplify new products including showing first silicon, from industry giants such as Intel and Qualcomm, to Cerebras who hosted a sneak preview of the CS-2 chip to an invited audience from our community ahead of its full reveal later that year.

Gain exposure on our main stage or through networking with our attendees across the two days.

Vendors who have signed up to attend...

Featured Speakers Include

Vendor Agenda Highlights


The Roadmap to Open Computing

Author:

Ola Tørudbakken,

Director AI Systems
Meta

Ola has 30 years of experience building distributed systems and high-performance networking across AI, HPC, Enterprise and Telco. 

Ola currently serves as Director of AI Systems at Meta. Previously Ola was SVP Systems at Graphcore, driving their 2nd generation AI systems. Ola came to Graphcore through the acquisition of Skala Technologies, an AI startup he co-founded. Prior to Skala, Ola worked as Chief Architect of Networking and Netra Servers at Oracle. Ola joined Oracle through the acquisition of Sun Microsystems. At Sun, Ola served as Distinguished Engineer, amongst many things responsible for the famous 3456-port Magnum Infiniband Switch now on display in the Computer Museum, Silicon Valley. Prior to Sun Ola was at Dolphin ICS, acquired by Sun Microsystems in 2000. Ola started his career as a research scientist at SINTEF, a Norwegian industrial research organization.

Ola is a recognized industry expert in distributed systems, holds over 48 patents, has published several papers in leading publications, and participated in numerous standardization bodies. Ola holds an MSc degree in Computer Science from University of Oslo in 1994

Ola Tørudbakken,

Director AI Systems
Meta

Ola has 30 years of experience building distributed systems and high-performance networking across AI, HPC, Enterprise and Telco. 

Ola currently serves as Director of AI Systems at Meta. Previously Ola was SVP Systems at Graphcore, driving their 2nd generation AI systems. Ola came to Graphcore through the acquisition of Skala Technologies, an AI startup he co-founded. Prior to Skala, Ola worked as Chief Architect of Networking and Netra Servers at Oracle. Ola joined Oracle through the acquisition of Sun Microsystems. At Sun, Ola served as Distinguished Engineer, amongst many things responsible for the famous 3456-port Magnum Infiniband Switch now on display in the Computer Museum, Silicon Valley. Prior to Sun Ola was at Dolphin ICS, acquired by Sun Microsystems in 2000. Ola started his career as a research scientist at SINTEF, a Norwegian industrial research organization.

Ola is a recognized industry expert in distributed systems, holds over 48 patents, has published several papers in leading publications, and participated in numerous standardization bodies. Ola holds an MSc degree in Computer Science from University of Oslo in 1994

Hardware for the Age of Co-Pilots

Author:

Marc Tremblay

Technical Fellow
Microsoft

Marc is a Distinguished Engineer and VP in the Office of the CTO (OCTO) at Microsoft. His current role is to drive the strategic and technical direction of the company on silicon and hardware systems from a cross-divisional standpoint. This includes Artificial Intelligence, from supercomputer to client devices to Xbox, etc., and general-purpose computing. Throughout his career, Marc has demonstrated a passion for translating high-level application requirements into optimizations up and down the stack, all the way to silicon. AI has been his focus for the past several years, but his interests also encompass accelerators for the cloud, scale-out systems, and process technology. He has given multiple keynotes on AI Hardware, published many papers on throughput computing, multi-cores, multithreading, transactional memory, speculative multi-threading, Java computing, etc. and he is an inventor of over 300 patents on those topics.

Prior to Microsoft, Marc was the CTO of Microelectronics at Sun Microsystems. As a Sun Fellow and SVP, he was responsible for the technical leadership of 1200 engineers. Throughout his career, he has started, architected, led, defined and shipped a variety of microprocessors such as superscalar RISC processors (UltraSPARC I/II), bytecode engines (picoJava), VLIW, media and Java-focused (MAJC), and the first processor to implement speculative multithreading and transactional memory (ROCK – first silicon). He received his M.S. and Ph.D. degrees in Computer Sciences from UCLA and his Physics Engineering degree from Laval University in Canada. Marc is on the board of directors of QuantalRF.

Marc Tremblay

Technical Fellow
Microsoft

Marc is a Distinguished Engineer and VP in the Office of the CTO (OCTO) at Microsoft. His current role is to drive the strategic and technical direction of the company on silicon and hardware systems from a cross-divisional standpoint. This includes Artificial Intelligence, from supercomputer to client devices to Xbox, etc., and general-purpose computing. Throughout his career, Marc has demonstrated a passion for translating high-level application requirements into optimizations up and down the stack, all the way to silicon. AI has been his focus for the past several years, but his interests also encompass accelerators for the cloud, scale-out systems, and process technology. He has given multiple keynotes on AI Hardware, published many papers on throughput computing, multi-cores, multithreading, transactional memory, speculative multi-threading, Java computing, etc. and he is an inventor of over 300 patents on those topics.

Prior to Microsoft, Marc was the CTO of Microelectronics at Sun Microsystems. As a Sun Fellow and SVP, he was responsible for the technical leadership of 1200 engineers. Throughout his career, he has started, architected, led, defined and shipped a variety of microprocessors such as superscalar RISC processors (UltraSPARC I/II), bytecode engines (picoJava), VLIW, media and Java-focused (MAJC), and the first processor to implement speculative multithreading and transactional memory (ROCK – first silicon). He received his M.S. and Ph.D. degrees in Computer Sciences from UCLA and his Physics Engineering degree from Laval University in Canada. Marc is on the board of directors of QuantalRF.

Generative AI-Specific Infrastructure: Why Generative AI Needs Optimized Hardware & Software Infrastructure & What is the Roadmap

Moderator

Author:

Galina Sagan

Prinicpal
Hitachi Ventures

Galina Sagan is a Principal at Hitachi Ventures, a global venture fund (with >600m USD AUM) with Hitachi being a single LP. Galina specializes in Enterprise SaaS B2B and digital investments. Some of the relevant deals include Trustwise AI, Archetype AI, Rescale and WekaIO. Formerly a Senior Investment Associate at Speedinvest, a pan-European early stage fund with > €1 billion AUM.

Galina has been recognized as one of GCVs Rising Stars in 2022.

Galina Sagan

Prinicpal
Hitachi Ventures

Galina Sagan is a Principal at Hitachi Ventures, a global venture fund (with >600m USD AUM) with Hitachi being a single LP. Galina specializes in Enterprise SaaS B2B and digital investments. Some of the relevant deals include Trustwise AI, Archetype AI, Rescale and WekaIO. Formerly a Senior Investment Associate at Speedinvest, a pan-European early stage fund with > €1 billion AUM.

Galina has been recognized as one of GCVs Rising Stars in 2022.

Author:

Asim Shah

Generative AI Research Engineering Lead
Citi Bank

Asim Shah

Generative AI Research Engineering Lead
Citi Bank

Author:

Euan Wielewski

Machine Learning Lead
NatWest

Euan Wielewski

Machine Learning Lead
NatWest

Author:

Jürgen Weichenberger

VP of AI Strategy & Innovation
Schneider Electric

Jürgen Weichenberger

VP of AI Strategy & Innovation
Schneider Electric

Author:

Kamran Naqvi

Chief Network Architect EMEA
Broadcom

Kamran Naqvi

Chief Network Architect EMEA
Broadcom

Energy-Efficient Semiconductors for AI, at the Edge, in the Age of Large Language Models

Author:

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

Sakya is the founder and Chief Executive officer of EdgeCortix. He is an artificial intelligence (AI) and machine learning technologist, entrepreneur, and engineer with over a decade of experience in taking cutting edge AI research from ideation stage to scalable products, across different industry verticals.  He has lead teams at global companies like Microsoft and IBM Research / IBM Japan, along with national research labs like RIKEN Japan and the Max Planck Institute Germany. Previously, he helped establish and lead the technology division at lean startups in Japan and Singapore, in semiconductor technology, robotics and Fintech sectors. Sakya is the inventor of over 20 patents and has published widely on machine learning and AI with over 1,000 citations. 

Sakya holds a PhD. in Physics of Complex Systems from the Max Planck Institute in Germany, along with Masters in Artificial Intelligence from The University of Edinburgh and a Bachelors of Computer Engineering. Prior to founding EdgeCortix he completed his entrepreneurship studies from the MIT Sloan School of Management.

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

Sakya is the founder and Chief Executive officer of EdgeCortix. He is an artificial intelligence (AI) and machine learning technologist, entrepreneur, and engineer with over a decade of experience in taking cutting edge AI research from ideation stage to scalable products, across different industry verticals.  He has lead teams at global companies like Microsoft and IBM Research / IBM Japan, along with national research labs like RIKEN Japan and the Max Planck Institute Germany. Previously, he helped establish and lead the technology division at lean startups in Japan and Singapore, in semiconductor technology, robotics and Fintech sectors. Sakya is the inventor of over 20 patents and has published widely on machine learning and AI with over 1,000 citations. 

Sakya holds a PhD. in Physics of Complex Systems from the Max Planck Institute in Germany, along with Masters in Artificial Intelligence from The University of Edinburgh and a Bachelors of Computer Engineering. Prior to founding EdgeCortix he completed his entrepreneurship studies from the MIT Sloan School of Management.