Engram embeddings load overlapped with GPU compute, so fetch time costs nothing
bookwormengr · x · 2026-09-10
The author explains that Engram embeddings can be loaded overlapped with ongoing GPU compute: the embedding is fetched while computation happens, so retrieval adds no latency, illustrated with a schematic. They point to the original paper published in January 2026 for the exact mechanism, with the TL;DR being that no time is lost fetching Engram embeddings. The question of why Engram embeddings work is left for a follow-up post.
Related event: Engram Embeddings: Caching Multi-Word Semantics for Cheaper, Smarter Models(3 posts)→
More from Infra
- Michael Dell: Musk is "the most demanding customer there is" — Colossus servers built in ~6 weeks — elonmusk · 2026-10-27
- AI chip startup Tenstorrent raises $1.5B at $6.2B valuation, more than doubling — Beth_Kindig · 2026-10-27
- Anthropic discloses up to $120.5B SpaceX compute deal, ~$3.1B monthly at full capacity — XFreeze · 2026-10-27
- Satire: swapping Raft for an LLM-style decision model tanks write throughput 99.98% — irombie · 2026-10-27
- Cadence joins the domain-specific AI model camp for chip design — karlfreund · 2026-10-27
- Qdrant builds Universal I/O to run vector search mmap code on object storage — qdrant_engine · 2026-10-27