ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More After months in preview, PyTorch 2.0 has been made generally available by ...
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Monarch framework, currently experimental, allows Python programmers to program distributed systems as if they were just one ...
At last week's Spark AI Summit Europe, we had the chance to discuss with some of the rock stars of this community. MLFlow's new version was presented in Databricks Chief Technologist Matei Zaharia's ...
Microsoft today announced PyTorch Enterprise, a new Azure service that provides developers with additional support when using PyTorch on Azure. It’s basically Microsoft’s commercial support offering ...
Facebook and Microsoft announced ONNX, the Open Neural Network Exchange this morning in respective blog posts. The Exchange makes it easier for machine learning developers to convert models between ...
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