~/talk

Building at Scale with H100: Eos as a DGX SuperPOD Reference Model for Large Data Center Builds

Talkat Systems @Scale 2024 · on Wednesday, 2024-06-12· [machine-learning, infrastructure-as-code]
slides:none on file

Eos is a DGX SuperPOD reference design built from DGX H100 servers organized into self‑contained pods that scale to ~4,000 GPUs and achieved a top‑500 rank (#9) and commercial MLPerf availability. It uses a leaf‑spine split‑core fabric (Infiniband) for collectives, a separate parallel storage fabric with NVMe caching, liquid cooling via CDUs, Prometheus/Splunk telemetry, Slurm scheduling and validated NVIDIA container images to guarantee performance and incremental deployability.

AI-written summary · about

  1. 0:00Building at scale with H100
  2. 1:52DGX SuperPOD timeline
  3. 3:58EOS SuperPOD architecture
  4. 7:27Compute fabric optimization
  5. 10:18GPU storage architecture
  6. 12:08Cluster software & telemetry
  7. 15:59Containerized job scheduling
  8. 17:03Next-gen DGX challenges
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