IBM Spyre becomes a first-class PyTorch backend
IBM connected its Spyre accelerator to the PyTorch ecosystem as a first-class backend through torch-spyre, a vLLM plugin and compiler updates.
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IBM connected its Spyre accelerator to the PyTorch ecosystem as a first-class backend through torch-spyre, a vLLM plugin and compiler updates.
A new Space and dataset let developers check, by version, whether Hugging Face Hub models run unmodified on AWS Trainium through the native TorchNeuron backend.
Hugging Face’s open-source TorchTPU project brings PyTorch workloads to Google TPUs while preserving familiar PyTorch code instead of requiring a separate compiler-centric workflow.
The TorchNeuron integration from Hugging Face and AWS aims to run PyTorch workloads on Trainium accelerators with a single configuration change.
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