AI Compute Innovations from OpenAI, Intel, and Qualcomm Shine at Hot Chips Conference

Monday, 26 August 2024, 16:25

AI compute is at the forefront as OpenAI, Intel, and Qualcomm present groundbreaking technologies at the Hot Chips conference. The event, held at Stanford University, showcases top AI processor advancements, emphasizing enhanced performance in neural network applications. Attendees engage in high-level technical discussions, highlighting the importance of AI compute in today's technology landscape.
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AI Compute Innovations from OpenAI, Intel, and Qualcomm Shine at Hot Chips Conference

AI Compute Evolution at Hot Chips Conference

The science and engineering of making chips dedicated to processing artificial intelligence is as vibrant as ever, judging from a well-attended chip conference taking place this week at Stanford University called Hot Chips. The Hot Chips show, currently in its 36th year, draws 1,500 attendees, just over half of whom participate via the online live feed and the rest at Stanford's Memorial Auditorium.

The Cutting-Edge of AI Processors

For decades, the show has been a hotbed for discussion of the most cutting-edge chips from Intel, AMD, IBM, and many other vendors, with companies often using the show to unveil new products. This year's conference received over a hundred submissions for presentation from around the world, with 24 talks accepted to fit a two-day format. There were also two tutorial sessions, a keynote, and thirteen poster sessions.

  • Qualcomm featured its Oryon processor aimed at data centers.
  • Intel introduced its Lunar Lake processor.
  • OpenAI's Trevor Cai discussed advancements in AI hardware.

The tech talks onstage and the poster presentations are highly technical and oriented toward engineers, with an audience often spread out laptops and multiple screens, reminiscent of their personal offices. Monday morning's session featuring Qualcomm and Intel drew a packed crowd, prompting abundant audience questions about AI compute.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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