Building high-performance recommendation inference systems using PyTorch
At PyTorch Conference 2026, Lu Fang, Research Scientist, and Ilina Mitra, Engineering Manager at Meta, will present a deep dive on building high-performance recommendation inference systems.
They will detail end-to-end production workflows, covering graph capture, model splitting, and serving across large-scale platforms like Facebook and Instagram. Attendees will gain technical insights into advanced optimizations for high TPS and low latency, as well as strategies for multi-accelerator support to handle diverse machine learning workloads at scale.
Register now and connect with the open source AI community in San Jose, CA, October 20-21: https://hubs.la/Q04w5M9L0
They will detail end-to-end production workflows, covering graph capture, model splitting, and serving across large-scale platforms like Facebook and Instagram. Attendees will gain technical insights into advanced optimizations for high TPS and low latency, as well as strategies for multi-accelerator support to handle diverse machine learning workloads at scale.
Register now and connect with the open source AI community in San Jose, CA, October 20-21: https://hubs.la/Q04w5M9L0
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PyTorch is an open source machine learning framework that is used by both researchers and developers to build, train, and deploy ML systems that so...
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