EP. 177 · 23.07.2025 · 42:55
INSIDE THE AI COMPUTE BUILD-OUT
with Lisa Su
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EPISODE BRIEF — EP. 177 · INSIDE THE AI COMPUTE BUILD-OUT Guest: Lisa Su · Published: 23.07.2025 · Duration: 42:55 【OVERVIEW】 A working conversation on the physical layer of AI: accelerator roadmaps, rack-scale systems, power budgets, and how quickly customers can absorb each new generation of silicon. 【KEY TAKEAWAYS】 1. The MI accelerator roadmap 2. Rack-scale system design 3. Power as the real constraint 4. Inference and the shifting workload mix 【CHAPTERS】 00:00 — The MI accelerator roadmap 12:00 — Rack-scale system design 26:00 — Power as the real constraint 36:00 — Inference and the shifting workload mix 【TOPICS】AI Infrastructure · Instinct · Data Centers · Energy · AMD 【WATCH】https://thedaopod.com/episodes/ep-177-lisa-su-inside-the-ai-compute-buildout
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THE CONVERSATION
A working conversation on the physical layer of AI: accelerator roadmaps, rack-scale systems, power budgets, and how quickly customers can absorb each new generation of silicon.
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EP. 177 · INSIDE THE AI COMPUTE BUILD-OUT
A working conversation on the physical layer of AI: accelerator roadmaps, rack-scale systems, power budgets, and how quickly customers can absorb each new generation of silicon.
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CHAPTERS
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GUESTS
ON THE ROUNDTABLE
Chair & CEO, AMD
Drives AMD's Instinct accelerator and rack-scale AI systems strategy for hyperscale customers.
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0:00 · The MI accelerator roadmap
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