Graphcore has joined the PyTorch Foundation as a general member, to forge closer links with the deep learning community to collaborate on the open source PyTorch framework and ecosystem.
“We’re thrilled that PyTorch is the leading framework for development on the Graphcore platform,” said Executive Director of the PyTorch Foundation Ibrahim Haddad. “Graphcore has played an important role in the hardware and open source space, and we look forward to their continued contributions to PyTorch.”
Graphcore has contributed to the PyTorch ecosystem for years by developing integrations to run on our IPU hardware. These integrations enable researchers and practitioners to use their preferred frameworks while taking advantage of Graphcore's specialized hardware.
“At Graphcore we’re truly aligned with PyTorch’s objective of reducing the barrier of entry to AI practitioners,” said Anthony Barbier, Software Frameworks Lead at Graphcore.
“By supporting a native PyTorch software environment for IPUs we are giving developers access to new underlying hardware, designed from the ground up for AI, to help unlock new AI techniques to improve efficiency or performance and to drive breakthroughs in AI research and applications, with the same user-friendly PyTorch framework they know and expect.
"We look forward to contributing to and growing the global AI community as an active member of the PyTorch Foundation and are proud to be the first general member.”
You can find out more about PyTorch for the IPU on the Developer section of our website, by reading our docs, checking out the code or running many pre-built models using PyTorch for free on IPUs with Jupyter notebooks on the Digital Ocean Paperspace cloud.
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