16 October 2026
Guide shows splitting one language model across two GPU servers on AWS
First reported
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- A hands-on guide explains how to run one large language model across two graphics-processing (GPU) computers on Amazon's cloud service, EKS.
- The setup separates the model's two phases, reading the prompt (prefill) and writing the reply (decode), onto different workers.
- Both workers sit behind a single endpoint that follows the OpenAI interface, so existing apps can connect without code changes.
Our read
Only one of the 30 tracked newsletters, Deep Learning Weekly, covered this guide, first reported on 2026-10-16. It follows the AWS and Nvidia GPU capacity commitment reported on 2026-08-27.
Earlier on this story
Written by Newskeryx from which newsletters covered this story and from our own archive.
How it was covered
Deep Learning WeeklyEditorial team
Running Ray LLM multi-node inference on EKS with prefill and decode workers