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PyTorch Conference

October 16-17, 2023
San Francisco, CA
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10:45am PDT

Introducing ExecuTorch from PyTorch Edge: On-Device AI Stack and Ecosystem, and Our Unique Differentiators - Mergen Nachin & Orion Reblitz-Richardson, Meta Grand Peninsula Ballroom A/B/C

11:15am PDT

PyTorch Edge: Developer Journey for Deploying AI Models Onto Edge Devices - Mengwei Liu & Angela Yi, Meta Grand Peninsula Ballroom A/B/C

11:45am PDT

PyTorch Edge: Vendor Integration Journey for Compilers and Backends - Kimish Patel, & Chen Lai, Meta Platforms Grand Peninsula Ballroom A/B/C

3:10pm PDT

Lightning Talk: The Fastest Path to Production: PyTorch Inference in Python - Mark Saroufim, Meta Grand Peninsula Ballroom A/B/C

3:25pm PDT

Lightning Talk: Exploring PiPPY, Tensor Parallel and Torchserve for Large Model Inference - Hamid Shojanazeri, Meta Grand Peninsula Ballroom A/B/C

3:40pm PDT

Lightning Talk: Standardizing CPU Benchmarking with TorchBench for PyTorch Community - Xu Zhao, Meta & Mingfei Ma, Intel Grand Peninsula Ballroom A/B/C

3:55pm PDT

Lightning Talk: Profiling and Memory Debugging Tools for Distributed ML Workloads on GPUs - Aaron Shi, Meta Grand Peninsula Ballroom A/B/C

4:10pm PDT

Lightning Talk: Building Intermediate Logging for PyTorch - Kunal Bhalla, Meta Grand Peninsula Ballroom A/B/C

4:25pm PDT

Lightning Talk: PT2 Export - A Sound Full Graph Capture Mechanism for PyTorch - Avik Chaudhuri, Meta Grand Peninsula Ballroom A/B/C

4:55pm PDT

Llama V2 in Azure AI for Finetuning, Evaluation and Deployment from the Model Catalog - Swati Gharse, Microsoft Grand Peninsula Ballroom A/B/C

5:25pm PDT

The Evolving Landscape of Dataloading - Laurence Rouesnel, Meta Grand Peninsula Ballroom A/B/C

5:55pm PDT

Cost Effectively Deploy Thousands of Fine Tuned Gen AI Models Like Llama Using TorchServe on AWS - Saurabh Trikande, Amazon Web Services (AWS); Li Ning, Amazon Grand Peninsula Ballroom A/B/C