~/talk

LightningTalk: MultiRay: An Accelerated Embedding Service for Content...

Talkat PyTorch Conference 2023 · 2023-10-16..10-17· [machine-learning]
links:none on file
slides:none on file

MultiRay is an embedding service that computes and caches encoder-based embeddings (XLM-R and successors) for text, image and multimodal posts, exposing self-describing, quantized embeddings and simple RPCs. It serves TextRay, ImageRay, PostRay across 125 use cases at 800B requests daily and ~20M QPS, uses multi-level caching (memcached + flash) with cost- and reuse-aware replacement, batches requests for accelerator efficiency, and keeps <10% of queries hit accelerators by trading storage for recompute avoidance.

AI-written summary · about

  1. 0:00MultiRay introduction
  2. 1:27LLM deployment challenges
  3. 4:24Embeddings and caching solution
  4. 6:09Multi-level caching algorithm
  5. 8:18Accelerators and batching role
  6. 9:25Amortizing accelerator costs
  7. 9:45System architecture overview
  8. 11:11Centralized embedding benefits
  9. 11:56MultiRay evolution
  10. 12:37Performance metrics impact
  11. 13:18Q&A
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