How Chiplets Accelerate Generative AI Applications
This panel of experts at the Chiplet Summit discussed how chiplets can accelerate generative AI applications. Everyone is talking about ChatGPT, OpenAI, and its top executive Sam Altman. So what role can chiplets play as applications roll out in areas ranging from accounting through zoology?
Moderator:
- Bill Wong, Technology Editor, Electronic Design
Panel Members:
- Panelist: Nick Ilyadis, VP Product Planning, Achronix
- Panelist: Durgesh Srivastava, Sr Director Hardware Engineering, NVIDIA
- Panelist: Rohit Mittal, Systems/Silicon Lead, Google
- Panelist: Paul Fahey, VP Technology, SK hynix
- Panelist: Kevin Chen, Head/Partner Lam Capital, Lam Research
- Panelist: Paul Borrill, Chief Product Officer, Daedaelus
Related Videos
- Chiplets for generative AI
- Getting Moore with Less: How Chiplets and Open Interconnect Accelerate Cloud-Optimized AI Silicon
- The future of AI: Chiplets & Lasers
- Live with Cadence talking AI, Chiplets, Virtual Prototyping and more at Embedded World 2024
Latest Videos
- Accelerating AI Innovation with Arm Total Design: A Case Study
- The Rise of The Hublet™ & FPGA Chiplets
- From Internal Designs to Open Chiplet Economy: Discussion on How to Create Open, Democratized Access to Chiplet Technology
- “Dating” and “Marrying”: An AI Chiplet’s Perspective
- Impact of Chiplets, Heterogeneous Integration and Modularity on AI and HPC systems