AI Vendors | Kisaco Research

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.

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Vendors who have signed up to attend...

Featured Speakers Include

  • Marc Tremblay
    Technical Fellow
    Microsoft
  •
    Tom Mason
    Chief Technology Officer
    Stability AI
  •
    Greg Ombach
    Head of Disruptive R&T Technology & Engineering, Senior Vice President
    Airbus
  •
    Asim Shah
    Generative AI Research Engineering Lead
    Citi Bank
  •
    Christoph Spohr
    Lead Architect Big Data Platform
    Volkswagen
  •
    Asim Shah
    Generative AI Research Engineering Lead
    Citi Bank

Vendor Agenda Highlights

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VIEW THE FULL AGENDA HERE

Printable version

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

... read more

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

AI Infrastructure in 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.

... read more

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

Author:

Dimitri Metzger

Digital, Data, & IT for Medical AI R&D
Merck
... read more

Dimitri Metzger

Digital, Data, & IT for Medical AI R&D
Merck

Author:

Asim Shah

Generative AI Research Engineering Lead
Citi Bank
... read more

Asim Shah

Generative AI Research Engineering Lead
Citi Bank

Author:

Euan Wielewski

Machine Learning Lead
NatWest
... read more

Euan Wielewski

Machine Learning Lead
NatWest

Author:

Jürgen Weichenberger

VP of AI Strategy & Innovation
Schneider Electric
... read more

Jürgen Weichenberger

VP of AI Strategy & Innovation
Schneider Electric

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

Author:

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

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

... read more

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

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

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