AI

AI On-board of Satellites, Towards Autonomous Scientific Instruments

Vit Ruzicka, NASA

Amazingly Fast and Incredibly Scalable Inference...

Harry Kim & Laikh Tewari

An OPEN Path to Super Intelligence

Eric Xing

An Open Source Post-Training Stack: Kubernetes + Ray + PyTorch + vLLM

Robert Nishihara, Anyscale

Architecting AI: Efficient Models, Everywhere

Sharbani Roy, Arm

Arctic Inference: Breaking the Speed-Cost Tradeoff in LLM Serving

Aurick Qiao

Behind Every AI SBOM Lies a Minefield: Here's How to Not Step...

Matthew Crawford & Jimmy Ahlberg

Beyond the Node: Scaling Inference with Cluster-Wide KVCache...

Alon Yariv

Beyond TorchScript: The Future of C++ Inference in PyTorch

Sherlock Huang, Meta

Blazing Fast GenAI Inference With Torch.compile

Richard Zou, Meta

Breaking Heterogeneity Barriers: Unified Cloud-to-Robot AI System SW Stack for...

Yonghua Lin

Bridging the Gap: Embedded Deployment of PyTorch Deep Learning Models in Complex Engineered Systems

Build and Deploy AI Flows with an Agent Factory

Arjun Upadhyay

Building the Next Generation of Open Source AI Tooling

Travis Oliphant

Building the Open Agent Ecosystem Together: Introducing OpenEnv- Joe Spisak, Lysandre Debut

But How Do You Autograd Through Your Simulator? Making a...

R. Dagli & S. Lamba

Challenges and Standardization in PyTorch Ecosystem...

Zesheng Zong & Ashok Emani

Closing Remarks

Matt White, Executive Director, PyTorch Foundation

Coding with AI

Chip Huyen, Tep Studio

Contributor Awards

Controllable Generation of Synthetic Video Data With Human Motion

Vaclav Knapp

DeepSpeed: Efficient Training Scalability for Deep Learning

Tunji Ruwase, Snowflake

Deploying GenAI for Audio Generation on Mobile CPUs With ExecuTorch

Gian Marco Iodice, Arm

Designing and Building Custom Reinforcement Learning Environments for Fine-tuning LLMs

N. Bantilan

Distributed Training in PyTorch: Zero to Hero

Corey Lowman, Lambda Labs

Dynamic Shape Recompilations

Bob Ren, Meta

Efficient Inference Serving with Kubernetes Gateway...

Lin Sun

Efficient MoE Pre-training at Scale on AMD GPUs With TorchTitan -Liz Li & Yanyuan Qin, Matthias Reso