# Muse Wonder

Meta converted a conventional data center in New Albany, Ohio, into Prometheus, a gigawatt-scale supercluster whose first phase is complete and was used to train the Muse family of foundation models. Because one failing host can slow an entire large training job, Meta focused on system stability and reached more than 85% goodput on Muse Wonder pre-training runs and more than 90% on reinforcement learning runs. The cluster now spans hundreds of thousands of GPUs, with a target of roughly one million at full scale.

Meta converted a conventional data center in New Albany, Ohio, into Prometheus, a gigawatt-scale supercluster whose first phase is complete and was used to train the Muse family of foundation models. Because one failing host can slow an entire large training job, Meta focused on system stability and reached more than 85% goodput on Muse Wonder pre-training runs and more than 90% on reinforcement learning runs. The cluster now spans hundreds of thousands of GPUs, with a target of roughly one million at full scale.

Meta's Muse Wonder is now callable through AI Gateway for coding, long-running agents, and computer use, with a 1M-token context window and text, image, and PDF input, so developers reach it with one AI Gateway key instead of a separate Meta account.

Meta's Muse Wonder is now callable through AI Gateway for coding, long-running agents, and computer use, with a 1M-token context window and text, image, and PDF input, so developers reach it with one AI Gateway key instead of a separate Meta account.