Neuron, enabling high-throughput serving of frontier open-weight AI models on Trainium accelerators for university HPC teams.
The GPU vs TPU question got more complicated on November 9, 2026, when Google announced two new TPU variants, the TPU 8tx and ...
KubeRay provides an open-source, Kubernetes-native operator that manages the complete lifecycle of Ray clusters, jobs, and ...
While we've always co-designed our TPUs in partnership with Google DeepMind, we're now increasingly getting feedback from ...
PyTorch 2.15 includes a rewritten Nvidia Collective Communications Library backend, a flight recorder for GPU failures, and ...
NVIDIA's Reshard collective reduces reinforcement learning weight refit latency, addressing inefficiencies in GPU ...
Google e Meta lançaram o TorchTPU, backend open source que roda PyTorch nativamente em TPUs, com eager execution e menos código pra migrar de GPU.
Compare LLM inference frameworks for production serving, request batching, KV cache management, and efficient deployment.
Google and Meta released TorchTPU, an open-source native PyTorch backend for Google TPUs that runs eager execution with ...
FuriosaAI, an AI semiconductor company building sustainable, high-performance inference compute for data centers, today announced the completion of its $620 million (KRW 820 billion) Series D round, ...
Google and Meta have released TorchTPU, an open source collaboration that introduces a native PyTorch backend for Google TPUs. TorchTPU can be used to execute models and migrate TPUs. Tensor ...
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