NVIDIA released Grove, a Kubernetes API baked into Dynamo, to wrangle the chaos of modern AI inference. It pulls apart your big, messy model into clean, discrete chunks - prefill, decode, routing - and runs them like a single, orchestrated act.
The trick? Custom hierarchical resources. They let Grove handle startup order, gang scheduling, topology-aware placement, and multilevel autoscaling without breaking a sweat.
Why this matters: Grove turns AI inference into something Kubernetes can actually understand, declarative and dependency-aware. This is scheduling for large, multi-role models that live in the real world.
