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AI infrastructure

News, updates, and best practices for scaling AI workloads with Google Cloud’s purpose-built hardware, networking, and orchestration.

Containers & Kubernetes

Minimize idle accelerators: Native RL job interleaving with co-operative time-slicing in llm-d

By Poonam Lamba • 8-minute read

AI infrastructure

Your AI agents are ready. Is your data?

By Sirish Chandrasekaran • 4-minute read

IDC: Why the right networking approach is foundational to agentic AI

By Taranvir Singh • 4-minute read

AI & Machine Learning

Claude at scale on Google Cloud: Frontier AI, built for enterprise production

By Schneider Larbi • 7-minute read

AI infrastructure

Google Cloud named Leader in the 2026 Gartner® Magic Quadrant™ for AI Infrastructure

By Mark Lohmeyer • 5-minute read

Containers & Kubernetes

Scaling Ray Serve LLM on GKE: Performance without losing the developer experience

By Spencer Peterson • 3-minute read

Containers & Kubernetes

Report: GKE Inference Gateway delivers up to 92% faster AI responses

By Bob Tian • 5-minute read

How we evolved Google’s global and data center networks for the AI era

By Bikash Koley • 7-minute read

Containers & Kubernetes

Agent Sandbox on GKE is now available for everyone, and a first look at Agent Substrate

By Brandon Royal • 5-minute read

AI & Machine Learning

Benchmark and optimize LLMs on-device with AI Edge Portal

By Derek Bekebrede • 5-minute read