September 18-19, 2024
Fort Mason Center, San Francisco, CA
PyTorch, a fully featured framework for building deep learning models, is distinctive for its excellent support for GPUs and its use of reverse-mode auto-differentiation. With this capability, computation graphs can be modified on the fly, making PyTorch a popular choice for fast experimentation.
Join us at PyTorch 2024 to share how PyTorch is accelerating your research, discoveries, and data science.
Take a closer look at the scheduled NVIDIA sessions, posters, meetups, and more in this year’s program.
Tuesday, 9/17 | Wednesday, 9/18 | Thursday, 9/19 |
9:12–10:12 a.m. PT Keynote: PyTorch Technical Deep Dive Piotr Bialecki, Director of Engineering, NVIDIA |
12:10–12:20 p.m. PT Lightning Talk: Making the Most of Heterogeneous Memory Capacity Using PyTorch Syed Ahmed, Senior Software Engineer, NVIDIA |
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11:10-11:35 a.m. PT Sponsored Session: NeMo-Aligner: A Scalable Toolkit for Model Alignment Gerald Shen, Engineer NVIDIA Jimmy Zhang, Machine Learning Engineer NVIDIA |
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5:30 p.m. PT LLMs Night With NVIDIA |
5:30–8:30 p.m. PT Poster Session: Purge the GIL: Improved Torch.DataLoader Michal Szolucha, Software Engineer, NVIDIA Rostan Tabet, Software Engineer Intern NVIDIA |
4:05–4:30 p.m. PT Breakout Session: Understanding the LLM Inference Workload Mark Moyou, Senior Data Scientist, NVIDIA |
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