Moving our training clusters onto the platform gave us complete visibility across the fleet. GPU utilization climbed within the first month, and our engineers finally stopped fighting the infrastructure and started shipping models.

We needed sovereign-grade control without vendor lock-in, and this was the only stack that delivered it. Provisioning a new cluster now takes hours instead of quarters, with the compliance guarantees our regulators require.

Observability across every layer means we catch bottlenecks before they cost us a training run. Scaling from a handful of GPUs to thousands is now a routine operation rather than a quarter-long project.