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Hardware & Co-Design

Talkat AI Infra @Scale 2024 · on Wednesday, 2024-07-31· [machine-learning]
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MTIA V2 is a TSMC 5nm, 90 W chip running at 1.35 GHz with 177 TFLOPS (FP16/bf16) and a 2.35 billion gate design, built around a very large on‑chip SRAM and off‑chip LPDDR; custom dot‑product engines and embedding offloads plus int8/int4 and fb16 support drive efficiency. Software is PyTorch‑native + Triton with torch Dynamo/Inductor, kernel autotuning and a model compiler; job launch latency drops to ~20% of V1 and table‑embedding ops run 2–3x faster. Low‑complexity ranking beats baseline rack perf and perf/W, high‑complexity models need more kernel/SRAM blocking work.

AI-written summary · about

  1. 0:00Model Co-design for MTIA
  2. 6:59MTIA Next Generation Accelerator
  3. 13:46Silicon Software
  4. 19:18Closing Thoughts
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