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Latest posts
Last updated 1 day ago
Run Ray on TPU, Part 2: Ray AI libraries
1 day ago
This second installment explores how Ray’s higher-level libraries—Serve, Data, and Train—abstract the...
Scaling Agentic RL: High-Throughput Agentic Training with Tunix
4 days ago
Tunix is Google’s new JAX-native post-training library designed to eliminate TPU idling...
Run Ray on TPU, Part 1: The foundations
5 days ago
Ray 2.55 introduces official, first-class support for Google Cloud TPUs, enabling developers...
Evolving Spec-Driven Development: Conductor Now Supports Antigravity
9 days ago
Conductor has evolved from a Gemini CLI extension into a portable plugin...
Building scalable AI agents with modular prompt transpilation
9 days ago
To resolve the scaling bottlenecks and runtime errors caused by monolithic system...
Expanding Choice in Gemini Enterprise Agent Platform: Introducing Grounding with Parallel Web Search
10 days ago
Google Cloud has partnered with Parallel Web Systems to natively integrate Parallel's...
Systems Engineering Playbook: Optimizing Qwen 3.5-397B MoE on Ironwood (TPU7x)
11 days ago
To serve the 397B-parameter Qwen 3.5 Mixture-of-Experts (MoE) model on Ironwood TPUs...
Unlocking the Next Era of On-Device AI with Google Tensor and Pixel
11 days ago
At Google I/O Connect India, Google showcased the future of 100% private...
LiteRT.js, Google's high performance Web AI Inference
16 days ago
We're excited to introduce LiteRT.js, the newest member of the LiteRT family...
Bridging the Domain Gap: AI Race Coach built with Antigravity and Gemini
17 days ago
On May 23, 2026, fresh off the stage at Google I/O, our...
We terminated a TPU mid-training and it recovered in seconds: Introduction to elastic training with MaxText
19 days ago
Distributed AI training is notoriously fragile because losing a single machine typically...
Why we built ADK 2.0
24 days ago
Answering the questions of "why we built ADK 2.0". This explains the...