Inference Auctions Thread: Priority Tiers Are Too Coarse for Latency-Sensitive Requests
nhaghtal · x · 2026-10-10
Part 2 of the Inference Auctions thread argues that when compute is scarce, current LLM serving systems fall back on a handful of coarse priority tiers to decide whose request gets served first. A coding agent, a real-time chat user, and an overnight research query have very different latency needs, yet users can't express that sensitivity — the gap the paper's auction mechanism targets.
More from Infra
- Cloudflare acquires Deno, will maintain runtime for only one more year — Simon Willison · 2026-10-10
- How apps scale: 2006 bigger servers, 2016 clusters, 2026 rewrite in Rust — tristanbob · 2026-10-10
- After HA Yellow failure and LLM-assisted eMMC debugging, altryne moves to Omarchy VM — altryne · 2026-10-10
- VidAIo claims AI video compression halves file size vs AWS, could cut Netflix's $1B streaming bill in half — markjeffrey · 2026-10-10
- Joseph Jacks: analog neural nets are going to be huge — your brain already runs them — JosephJacks_ · 2026-10-10
- Baseten launches Project Beacon, partners Goodfire for in-line open-model safety monitoring — baseten · 2026-10-10