Topic
Open-source container orchestration system, created at Google and run by the CNCF, that deploys and scales containerised workloads across clusters.
NVIDIA released the full Run:ai platform as open source, with four components that teams can adopt separately. Teams running shared GPU clusters on Kubernetes can read and modify the scheduling stack, but the license terms depend on which download they take.
Reality
NVIDIA's AICR v1.0 puts its CLI, REST API, Go SDK, bundle layout and artifact schemas under a stable compatibility contract. Platform teams can now script GPU cluster upgrades against those interfaces and expect them to hold across v1.x releases.
Reality
Google says GKE Pod snapshots, which restore saved CPU and GPU memory, cut startup latency by up to 89% and load a 70B model in 37 seconds. When a snapshot stops matching its node, the Pod starts cold with no error, so teams must keep snapshots valid across upgrades.
Reality
GKE Agent Sandbox is generally available and publishes provisioning numbers a team can plan against. The scheduling and durability layers stacked on top of it rest on one public demo, and the deprecation argument lands there.
Reality
Kubernetes 1.37 shipped on 26 August 2026 with the containerd CRI fallback still working, because a pull request merged three months earlier moved the removal to 1.38. Two of the guides link to that pull request.
Reality