~/talk

VLLM K/V Caching With Ceph

Talkat Cephalocon 2025 · 2025-10-28..10-29· [machine-learning]
links:none on file
links:none on file
slides:none on file

Prototype Ceph K/V caching plugin for vLLM offloads attention states to clustered NVMe and complements GPU HBM, using LM Cache with 256-token content-addressable blocks (≈62 MB / 256 tokens for a qwen‑32B example). A 2U four‑node Ceph RGW cluster with six NVMe per node and a 400G fabric sustains ~60 GB/s reads from a single GPU host. Experiments with 100k–130k contexts show 5x–10x reduction in time‑to‑first‑token, demonstrating practical latency and cost tradeoffs.

AI-written summary · about

  1. 0:00Introduction and speakers
  2. 1:05What is KV caching
  3. 8:36Offloading KV data to storage
  4. 18:31Experiment setup with VLLM
  5. 26:46Read path and cache benefits
  6. 28:49Performance results and speedups
  7. 30:34Shared storage benefits and future work
  8. 33:50Q&A session
~/search
type to search 6,249 conferences, 138,987 speakers and 185,172 talks
~/help
cmdctrl k
search every conference, speaker and series
/
focus the filter search
h
home
c
conferences
s
speakers
e
series
t
light / dark — the status bar button does the same
?
this help
esc
close this, then clear every filter — or just the search, while you are typing in it

Ignored while you are typing. Pages without a filter rail have no search to focus.