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September 18-19, 2024
San Francisco, California
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Note: The schedule is subject to change.

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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

Thursday September 19, 2024 3:00pm - 3:25pm PDT
Have you ever hit an OOM (and wished you had more VRAM)? Who hasn't! Hop on the bus with us and feel the road become smoother as we talk about stacking together techniques like FSDP2 + QLoRa + CPU Offloading + Fused ADAM (thanks Intel) + more in PyTorch native. We will give an overview of these techniques as well as the hard edges we solved in their composition. Curious for more? Or...still OOMing? We also plan on discussing our more researchy work on offloading, pagedness, and low precision optimizers.
Speakers
avatar for Jane Xu

Jane Xu

PyTorch SWE, Meta
I'm Jane and I focus on making our optimizers more...optimal :) in terms of stability, consistency, and performance. My favorite part of PyTorch is the people--they're all smart and cool and fun to learn from! I also like potatoes quite a lot.
avatar for Mark Saroufim

Mark Saroufim

Software Engineer, Meta
Mark Saroufim is a PyTorch Engineer at Meta working on inference, compilers and community.
Thursday September 19, 2024 3:00pm - 3:25pm PDT
Room B

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