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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.

Hybrid & Multicloud

Digital sovereignty in the age of AI: You don’t have to choose between control and innovation

By Ankur Mehrotra • 1-minute read

Mirendil taps AI Hypercomputer TPUs and GPUs for pre- and post-training applications

By Darren Mowry • 2-minute read

AI infrastructure

What’s new in AI infrastructure and orchestration this month

By Alex Barrett • 10-minute read

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