AWS details multi-node LLM inference on EKS using Ray containers

AWS describes deploying large language models across two GPU nodes on Amazon EKS using Ray LLM Deep Learning Containers. The setup separates prefill and decode nodes behind a single OpenAI-compatible endpoint.

Read the full story at AWS Machine Learning Blog ↗

Timeline · 1 report

2026-10-12 15:50 · AWS Machine Learning Blog
Run multi-node inference workloads using Ray LLM Deep Learning Containers

More stories

AWS details deploying decision models with llama.cpp on SageMaker AI — AWS Machine Learning Blog
Amazon in Talks to Acquire Decart AI for $7 Billion — Bloomberg AI
Analysis: constructing and equipping a 1GW AI data center in Abilene, Texas, could cost ~$30B, including $17B on chips, $3B on power, and $2.4B on construction — Techmeme
Amazon expands robotic workforce to scale operations — Ars Technica AI
Amazon in Talks to Buy AI Startup Decart for $7 Billion — Wall Street Journal Technology
Nicolas Cage Says He Won't Work With Amazon Again Over AI Waiver Dispute — r/antiai
AWS just replaced round-robin with GPU-aware routing for LLM inference — r/machinelearningnews
Jeff Bezos says AI will deliver a 3-day work week — while Amazon cuts 30,000 jobs — r/artificial

Get the daily brief of stories like this at 6:30 every morning →