
Google unveils TPU 8tx and TPU 8i Max for AI workloads
TPU 8tx, designed with AMD, targets confidential training and inference; TPU 8i Max doubles memory in one package.
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TPU 8tx, designed with AMD, targets confidential training and inference; TPU 8i Max doubles memory in one package.
The method achieves 1.6x to 2.5x faster performance on TPU v7x and 11-24% faster training for MoE models compared to KDA.

Onboard TPUs completed a space haiku prompt; Google next plans thermal and radiation tests and twin satellites in 2027.

The prototype carries one TPU, generates up to 1 kW, and can power the chip for about twenty minutes.

The captured page is a cookie notice, so routing, TPU, and GPU claims are not confirmed in the body.

TPU support also landed in vLLM, SGLang, TorchTitan, Ray, and Hugging Face libraries, with two pieces still in preview.

Amazon released TorchNeuron a day earlier to port PyTorch apps to Trainium without rewriting them.
The feed only shows a Hacker News thread with 42 points and 12 comments.
The post title says Hugging Face now supports TPUs natively through TorchTPU; no further details were provided.
A GitHub project, openTPU, claims AI can design its own inference hardware.

Google launched a TPU into orbit on SpaceX to test Project Suncatcher's space data-center concept.
Open-source e3j speeds Euclidean-equivariant GPU and TPU kernels, beating cuEquivariance on a MACE simulation.

Google's first Suncatcher orbital data-center test launches October 1 to run Gemini on TPUs in space.

Google will launch a TPU satellite on a SpaceX Falcon 9 on October 1 to test AI compute in orbit.
Researchers open-source MaxKernel, a multi-agent LLM system that generates and optimizes TPU kernels matching expert hand-tuned baselines on JaxBench.
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