Presenting at the Next '26 Developer Keynote is one of those moments I'll remember for a long time.
Thank you to everyone who played a part.
Till the next Next!
The second and last blog in the Run Ray on TPU series is out and it walks through three libraries you can use to actually build: Ray Serve, Ray Data and Ray Train
Blog:
I’m writing a two-part series on running Ray on TPU. Part 1 is 👇
As of Ray 2.55, TPUs are first-class accelerators in Ray. Official pre-built images are supported, along with official APIs and AI libraries
In Part 1, I cover what you need before writing and running code with
AlphaEvolve just went GA on Google Cloud
Google DeepMind's LLM-guided evolutionary coding agent. You give it a program to improve, a goal, and a scoring function and it uses Gemini to rewrite the code, score each candidate, and evolve the best over generations
I tested it to
Just published a write-up on elastic training on TPU, in collaboration with Abhinav (MaxText) and Luke (Pathways)
In the blog, we discuss why it’s needed, what elastic training is, and how it works with MaxText, Pathways, and Orbax on TPUs with a simple example
Full blog 👇