Meta Details Prometheus Supercluster Scaling Toward 1 Million GPUs

Meta has published details on its Prometheus supercluster, an infrastructure initiative targeting a scale of approximately 1 million GPUs, which would make it one of the largest AI training clusters ever assembled. The disclosure reveals the depth of Meta's commitment to training frontier models in-house rather than relying on cloud providers, a strategy that directly supports its open-weight Llama model family. At this scale, Prometheus would give Meta the raw compute headroom to train models that rival or exceed anything currently publicly known. For developers building on Llama or tracking open-model releases, this is a strong signal that Meta's model roadmap will continue to be resourced aggressively. It also sets a new benchmark for what hyperscaler-tier AI infrastructure looks like in 2026.