DigestAI news desk

Cut through the AI noise.

Hardware & Computeupdated 2 min read

Meta brings Prometheus supercluster online in Ohio to train Muse models

Meta has activated the first phase of its Prometheus AI supercluster at the New Albany, Ohio data‑center campus. The facility, which went live in October 2026, is built to operate at gigawatt scale and currently contains hundreds of thousands of GPUs, with a long‑term goal of roughly one million GPUs and a total capacity of 1 GW. Prometheus will primarily train Meta’s Muse family of foundational…

2 sources

Key points

  • Meta's Prometheus supercluster in Ohio is operational, housing hundreds of thousands of GPUs with a target of one million GPUs and 1 GW capacity.
  • Meta reports over 85% goodput in pre‑training runs and over 90% in reinforcement‑learning runs, with a mean time between interruptions of about 47,000 GPU hours.
  • Prometheus will inform the design of Hyperion, a planned Louisiana supercluster aiming for up to 5 GW capacity.

Meta’s engineering blog notes more than 85% goodput during pre‑training runs and over 90% during reinforcement‑learning runs, with a mean time between interruptions of about 47,000 GPU hours. The cluster relies on a Backend Aggregation network (BAG) linking GPUs across multiple buildings via high‑capacity Ethernet and a closed‑loop liquid‑cooling system to improve efficiency and reliability. Meta has invested over $7.8 million in local grants and sponsorships and supports hundreds of jobs in the region. Lessons from Prometheus are expected to guide Hyperion, a follow‑on supercluster planned for Louisiana that could reach up to 5 GW of capacity.

Model pages: Muse → · Muse Wonder →

The story so far

5 episodes →
  1. Meta brings Prometheus supercluster online in Ohio to train Muse modelsthis story
Full story from cryptobriefing.com · by Diego Almada Lopez · via Search: MetaOpen source ↗

Meta brings Prometheus supercluster online in Ohio to train its Muse AI models

cryptobriefing.com · 19 October 2026

Loading the full article…

This text was published by cryptobriefing.com and written by Diego Almada Lopez. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

Coverage and discussion

2sources
Topics · follow one to build your own front page

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

Comments

via GitHub Discussions

More in Hardware & Compute

All →

Related stories