Tens of thousands of #Nvidia #GPU sit idle in #Meta's #Prometheus supercluster, just waiting for a failureIn an eight-GP...

Tens of thousands of #Nvidia #GPU sit idle in #Meta's #Prometheus supercluster, just waiting for a failureIn an eight-GPU node, the chance of having a GPU fail is relatively low. In a 100,000-GPU cluster, failures are unavoidable. Meta is building something that's 10x larger and requires distributed training runs across multiple datacenters.The massive pool of redundant GPU is just one of several measures the hyperscaler has taken to keep its #AI training runs on track.https://www.theregister.com/systems/2026/10/20/tens-of-thousands-of-nvidia-gpus-sit-idle-in-metas-prometheus-supercluster-just-waiting-for-a-failure/5304269