Earlier this year, we shared a vision for making AI development faster and more interoperable. Today, during our first-ever PyTorch Developer Conference, we are announcing updates about the growing ecosystem of software, hardware, and education partners that are deepening their investment in PyTorch. We’re also bringing together our active community of researchers, engineers, educators, and more to share how they’re using the open source deep learning platform for research and production, and walking through more details on the preview release of PyTorch 1.0.
PyTorch 1.0 accelerates the workflow involved in taking breakthrough research in artificial intelligence to production deployment. With deeper cloud service support from Amazon, Google, and Microsoft, and tighter integration with technology providers ARM, Intel, IBM, NVIDIA, and Qualcomm, developers can more easily take advantage of PyTorch’s ecosystem of compatible software, hardware, and developer tools. The more software and hardware that is compatible with PyTorch 1.0, the easier it
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