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PyTorch 公布了 2026 年 PyTorch 贡献者奖获奖名单，在 #PyTorchCon 2026 上表彰了在 PyTorch、vLLM、DeepSpeed、Ray、Helion 和 Safetensors 等项目中做出贡献的社区成员，并由 Red Hat 赞助颁奖。
在 PyTorch Con 2026 上，Mark Saroufim 探讨了支撑更优优化器的线性代数内核，涵盖 QR、对称特征分解与 Cholesky，并从 GPU MODE 的线性代数竞赛中总结了如何通过暴露并行性、重叠独立阶段和合并更新来减少数据搬运。
Live from #PyTorchCon 2026, Amazon's Robert Hundt introduces TorchNeuron, the native PyTorch backend for AWS Trainium, supporting eager execution and torch.compile for training and serving via vLLM-Neuron, plus Neuron Explorer for profiling down to hardware instructions.
Live from PyTorchCon 2026, Chris Lattner of Qualcomm shows how developers can extend PyTorch with MAX and Mojo, offering a shared foundation for running code across hardware from multiple vendors. Mojo blends Pythonic code with systems-level speed, while MAX provides model authoring and a graph compiler targeting diverse hardware.