TPU Ironwood is Google’s 7th-generation custom AI chip, and unlike its predecessors, it was built for inference first. Here’s what that means and why it matters.
MCP Is the New REST. Google Cloud Just Made It Enterprise-Ready.
The Model Context Protocol is becoming the standard for how AI agents call external tools. Google Cloud Managed MCP Servers turn your existing APIs into agent tools — governed, discoverable, no new infrastructure.
Apigee Got a New Job: The Control Plane for Your AI.
Apigee evolved from API gateway to the control plane for LLM traffic, agent actions, and MCP tools. Here is why that matters for anyone building AI features at scale.
Wait, Oracle Runs Inside Google Cloud Now?
Oracle and Google Cloud put actual Exadata hardware inside GCP data centers. That is a strange sentence to type, and it has some interesting implications.
Google Just Open-Sourced Its Best Small Models. Now What?
Gemma 4 is Google’s first fully open-source multimodal model family, released under Apache 2.0. For ISVs, that changes the calculus on how you build and what you ship.
GPU Inference Without the Cluster. Cloud Run Finally Makes That Real.
Cloud Run now supports GPUs with scale-to-zero billing. For AI inference workloads that are bursty, sporadic, or just getting started, that changes the math entirely.