~/talk

KV Cache and Long-Context Inference: Solutions for Inference at Scale

Talkat Ray Summit 2026 · 2026-08-24..08-26· [large-language-models]
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Offloading KV cache to VAST Data’s flash layer with NVIDIA Dynamo and BlueField‑4/CMX shifts recompute to reads, tested on H100/H8 hardware with 128k context over dual 100GbE links. Benchmarks claim 20x time to first token, 90% GPU time savings and up to 64% lower three‑year TCO. A 1.2 TB KV cache sample yields ~1.4:1 data reduction. The system exposes S3/RDMA and a BlueField DPU local‑SSD tier to build a shared pod‑level KV cache.

AI-written summary · about

  1. 0:00Introduction and overview
  2. 0:28KV cache in long-context inference
  3. 1:32Cost and performance challenges
  4. 2:34Vast Data integration in Nvidia stack
  5. 3:58Optimizing KV cache management
  6. 5:23Experimental performance results
  7. 6:49Cost savings and data reduction
  8. 8:14Security and compliance for KV cache
  9. 9:17Future enhancements with CMX and DPUs
  10. 10:21Key benefits and summary
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