tpu

At ModCon 2026, Modular showcased how its Mojo/Max technology stack can deploy the Gemma 4 31B model to Amazon Trainium, Google TPU, and other accelerators with virtually no changes, using small C interfaces and operator extensions — with dMatrix getting matrix multiplication running on its Corsair accelerator just 6 days after receiving access to the Mojo compiler.

An announcement for a PyTorch Conference North America talk where speakers from Google and Meta will present TorchTPU, a PyTorch-native TPU backend that lets vLLM and SGLang run natively on TPU while preserving existing schedulers, batching systems, OpenAI-compatible APIs, and torch.compile workflows.

Google launched its first orbital compute satellite carrying a TPU to test in-orbit AI infrastructure under Project Suncatcher, and released a peer-reviewed paper arguing Starship would need roughly 1,600 launches to make space data centers economically viable, with launch costs potentially falling to $200/kg by 2035.

A long-form tech deep dive analyzing whether Google's TPU chips can challenge Nvidia's dominance in GPUs — arguing that the outcome hinges not only on the hardware itself, but on the CUDA software ecosystem, cost economics, and the way large customers like Anthropic are spreading their bets across both types of chips.

Anthropic's confidential S-1 filing reveals a $42 billion financing facility from Broadcom backing a $125.2 billion TPU compute lease, with Broadcom acting as supplier, lessor, and lender in a closed-loop structure that raises conflict-of-interest and default risks.

An analysis suggests NVIDIA's $279B investment backs roughly 37% of the world's 2027 AI memory supply, while Google's Waymo-style/TPU compute footprint may exceed that of any other player — a bigger development for Google than even Gemini 4.

In the interview, OpenAI VP of Hardware Richard Ho looks back on his chip career — from Stanford and the D. E. Shaw Anton supercomputer to eight generations of Google TPUs — and reveals the team-building philosophy behind OpenAI's in-house accelerator, Jalapeno: team first, ideas second; a blank-sheet design approach; and, most importantly, the key engineering lesson of keeping hardware programmable and avoiding overfitting to specific models.

Google is launching its TPUs in space next week via SpaceX's Falcon 9 rocket to test AI data centers in orbit.

Sundar Pichai reveals Project Suncatcher, testing Google's TPU hardware in space via a prototype satellite on a SpaceX mission.

Google is testing its TPUs in space through Project Suncatcher, launched on SpaceX's Transporter-18 mission in partnership with Planet to evaluate if they can survive and operate in the space environment.

Google is testing its first orbital data center, Suncatcher, launching on October 1, to evaluate AI chips and cooling systems in space conditions. The test aims to understand challenges like radiation and heat dissipation for future missions.

Google's Project Suncatcher is conducting its first orbital test to assess AI hardware performance in space, as part of a long-term initiative to explore scalable machine learning infrastructure in low Earth orbit.

MiMo 发布了 2.6 flash 版本，并引用了 Tianjun Zhang 关于在 TPUs 上使用 JAX 扩展强化学习的博客文章。

Peano Labs has scaled reinforcement learning on TPUs for the MiMo model family, enabling full-parameter RL at 310B parameters with Jax, where scaling is primarily a configuration change.

The PyTorch Conference North America will feature live demos on integrating PyTorch with TPUs, Trainium, edge devices, and resilient training on October 20-21 in San Jose.

Google Cloud and Inferact announce a partnership to optimize vLLM for TPU, making it a first-class citizen in the open model ecosystem for agentic production serving.

Google Accelerator Agents is a GitHub repository of AI-powered tools to accelerate machine learning development on TPUs, featuring agents for code migration and kernel optimization using Gemini.

Anthropic has hired Google TPU veteran Amir Salek to lead its in-house chip development, aiming to build custom silicon for AI workloads like Claude.

This article surveys various AI chip architectures such as GPUs, TPUs, and LPUs, discussing their designs, scaling methods, and adoption by major companies in the AI industry.

Anthropic announces a $50 billion AI infrastructure plan, leveraging under $9 billion in annualized revenue to obtain nearly $50 billion in debt financing, highlighting that long-term contracts and credit support are critical bottlenecks in AI expansion.