The eighth generation of Google’s TPU includes two specialized chips that will power the future of AI.
Our eighth generation TPUs: two chips for the agentic era
An overview of Google’s eighth generation TPUs, built for the agentic era.
TPU architecture | Google Cloud Documentation
Tensor Processing Units (TPUs) are application specific integrated circuits (ASICs) designed by Google to accelerate machine learning workloads. Cloud TPU is a Google Cloud service that makes TPUs available as a scalable resource.
Google Cloud Next 2026: The End Of The AI Pilot Era
Google Cloud Next 2026 opened with Thomas Kurian declaring the end of the AI pilot era and Sundar Pichai comparing the enterprise refrain of last year (“Can we build an agent?”) to today’s: “How do we manage thousands of them?” Google Cloud Next ’26 answers the second question with a single product story: Gemini Enterprise […]
Expanding our use of Google Cloud TPUs and Services
Announcing a dramatic increase in Anthropic's compute resources
Rohan Paul on Twitter / X
Google is trying to win AI by making compute cheap, not by beating Nvidia on raw speed.Nvidia sells GPUs to clouds with a big 70%+ margin that sits on top of manufacturing and R&D cost and raises cloud prices.Google builds TPUs for itself at near manufacturing cost, adds no… https://t.co/aSgWRf0HY7 pic.twitter.com/T3Fzc6czwg— Rohan Paul (@rohanpaul_ai) November 25, 2025
TPUs vs. GPUs and why Google is positioned to win AI race in the long term | Hacker News
To quote The Next Platform: "An Ironwood cluster linked with Google’s absolutely unique optical circuit switch interconnect can bring to bear 9,216 Ironwood TPUs with a combined 1.77 PB of HBM memory... This makes a rackscale Nvidia system based on 144 “Blackwell” GPU chiplets with an aggregate of 20.7 TB of HBM memory look like a joke."
Google for Developers Blog - News about Web, Mobile, AI and Cloud
Explore how Google, Amazon, and Cisco form the Agent2Agent Foundation under the Linux Foundation to drive AI innovation via interoperability as an industry standard.
AI Chip Architectures
A look at AI Chip Architectures. NVIDIA, AMD, TPUs, Trainium, Groq, Cerebras.
Google Sunsets Vertex AI, Launches Agent Control Plane | Awesome Agents
Google replaced Vertex AI with the Gemini Enterprise Agent Platform at Cloud Next 2026 - a full-stack control plane that assigns every agent a cryptographic ID and routes all tool calls through a central policy gateway.
Alibaba Announces Comprehensive Full-Stack AI Upgrade for the Agentic Era
Qwen3.7-Max, upgraded cloud infrastructure and model services, and new T-Head chips announced at Alibaba Cloud Summit
Train a model using TPU v5e | Google Cloud Documentation
With a smaller 256-chip footprint per Pod, TPU v5e is optimized to be a high value product for transformer, text-to-image, and Convolutional Neural Network (CNN) training, fine-tuning, and serving. For more information about using Cloud TPU v5e for serving, see Inference using v5e.
Project Think: building the next generation of AI agents on Cloudflare
Announcing a preview of the next edition of the Agents SDK — from lightweight primitives to a batteries-included platform for AI agents that think, act, and persist.
Microsoft adopts Google's standard for linking up AI agents | TechCrunch
Microsoft says that it's embracing Google's recently launched open protocol, Agent2Agent, for allowing AI 'agents' to communicate with each other.
Microsoft adopts Google's standard for linking up AI agents | TechCrunch
Microsoft says that it's embracing Google's recently launched open protocol, Agent2Agent, for allowing AI 'agents' to communicate with each other.
Building the agentic cloud: everything we launched during Agents Week 2026
Agents Week 2026 is a wrap. Let’s take a look at everything we announced, from compute and security to the agent toolbox, platform tools, and the emerging agentic web. Everything we shipped for the agentic cloud.
