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Google and Meta open-source native PyTorch support for TPUsTorchTPU lets existing PyTorch workloads run on Google TPUs with minimal code changes and supports training, serving and deployment tools including vLLM and SGLang. The release is intended to make TPUs a more practical alternative to GPU-centric AI software stacks.→Broadcom reports AI semiconductor revenue up 221% year on yearBroadcom reported Q3 fiscal 2026 AI semiconductor revenue of $16.7B, up 221% year on year and 54% quarter on quarter. It guided to $21.7B of AI semiconductor revenue in Q4, while total Q3 revenue was $29.6B.→Alibaba expects its second-generation T-Head AI chip to enter production this yearAlibaba CEO Eddie Wu said the second-generation T-Head chip is expected to begin tape-out and production in the second half of this year. TechNode reports that Alibaba expects stronger computing performance and interconnect bandwidth, and believes the chip can support large-model training workloads.→AMD unveils Helios rack-scale system for frontier AIAMD introduced Helios alongside new data-centre hardware and named OpenAI, Meta, Oracle, Anthropic and Microsoft among planned users. The system is designed to combine large numbers of processors and accelerators for high-scale AI workloads.→