Google Cloud unveils AI infrastructure and orchestration updates for October

[Google Cloud] The Google Cloud AI Infrastructure team said it rolled out new products and updates in October to support AI and agentic workloads. Agent Compute Engine, a new compute service, provides hardware-isolated microVM sandboxes alongside governance capabilities including Agent Gateway and Agent Registry; according to Google Cloud, it offers sub-second activation, workload density through copy-on-write memory sharing, enterprise security and identity management, and cross-cloud observability. At NVIDIA GTC Berlin 2026, the team announced updates to its agentic infrastructure, including A5X instances powered by the NVIDIA Vera Rubin NVL72 platform, the Virgo Network scale-out fabric and Managed Lustre storage. For GKE, a CPU startup boost feature in preview uses Kubernetes In-place Pod Resize to raise container CPU resources during initialization and scale them back without restarts; Google Cloud said it accelerates cold starts by up to 2x. A preview of the Wiz Runtime Sensor add-on for GKE was also announced. Cloud Run added Temporal Serverless Workers that scale worker pools by task queue demand and down to zero when idle. In open source, llm-d 1.0 is a Kubernetes-native serving stack that unifies distributed LLM inference across TPU and GPU fleets, and Google, working with Meta, open-sourced TorchTPU to integrate TPUs into the PyTorch ecosystem.