Conferences / PyTorch Conference
PyTorch Conference 2023
Oct 16–17, 2023 · Hyatt Regency San Francisco Airport, Burlingame, CA, United States
- Conference
- PyTorch Conference Data science & ML
- Dates
- Oct 16, 2023 – Oct 17, 2023
- Venue
- Hyatt Regency San Francisco Airport
- Place
- Burlingame, CA, United States
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- events.linuxfoundation.org
- Recorded
- 11 sponsors · 157 speaker appearances
- Notes
- Organized by the Linux Foundation for the PyTorch Foundation (billed as San Francisco; venue is the Hyatt Regency SFO in Burlingame). Full Sched programme recorded (81 sessions incl. posters, breaks excluded); affiliations as shown on Sched. Registration prices not shown on the archived LF register page.
Ticket prices
No ticket prices recorded
Sponsors 11
Speakers and talks 157
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Christian Burke | Refik Anadol Studio | Keynote | Keynote: Refik Anadol Studio: Rainforest AI Research | — |
| Fan Zhao | Intel | Keynote | Keynote: Intel and PyTorch: Enabling AI Everywhere with Ubiquitous Hardware and Open Software | — |
| Ibrahim Haddad | LF AI & Data Foundation | Keynote | Keynote: Welcome & Opening Remarks | — |
| Joe Spisak | Meta | Keynote | Keynote: PyTorch 2.1 Technical Deep Dive | — |
| Joe Spisak | Meta | Keynote | Keynote: Welcome & Opening Remarks | — |
| Joe Spisak | Meta | Keynote | Keynote: How PyTorch Became the Foundation of the AI Revolution | — |
| Joe Spisak | Meta | Keynote | Keynote: The Llama Ecosystem: Past, Present and Future | — |
| Mario Lezcano | OpenAI | Keynote | Keynote: PyTorch 2.1 Technical Deep Dive | — |
| Mark Saroufim | GPU Mode | Keynote | Keynote: PyTorch 2.1 Technical Deep Dive | — |
| Mergen Nachin | Inc | Keynote | Keynote: PyTorch 2.1 Technical Deep Dive | — |
| Negin Oliver | AMD | Keynote | Keynote: AMD & PyTorch: A Powerful Combination for Generative AI | — |
| Peng Wu | Meta | Keynote | Keynote: PyTorch 2.1 Technical Deep Dive | — |
| Priya Nagpurkar | IBM | Keynote | Keynote: The Value of Open Source for the Enterprise | — |
| Raghu Ganti | IBM | Keynote | Keynote: How to Leverage PyTorch to Scale AI Training and Inferencing | — |
| Refik Anadol | Refik Anadol Studio | Keynote | Keynote: Refik Anadol Studio: Rainforest AI Research | — |
| Stella Biderman | EleutherAI | Keynote | Keynote: Building an Interoperable Ecosystem for Generative AI | — |
| Travis Oliphant | OpenTeams | Keynote | Keynote: The Promise of PyTorch as a General-Purpose Array-Oriented Computational Backend | — |
| Will Constable | Meta | Keynote | Keynote: PyTorch 2.1 Technical Deep Dive | — |
| William Falcon | Lightning AI | Keynote | Keynote: PyTorch Lightning: Powering the GenAI Revolution from Research to the Enterprise | — |
| Yanan Cao | Meta | Keynote | Keynote: PyTorch 2.1 Technical Deep Dive | — |
| Aaron Bockover | Microsoft | Lightning talk | Lightning Talk: Streamlining Model Export with the New ONNX Exporter | — |
| Aaron Shi | Meta | Lightning talk | Lightning Talk: Profiling and Memory Debugging Tools for Distributed ML Workloads on GPUs | — |
| Alban Desmaison | Meta | Lightning talk | Lightning Talk: State of PyTorch | — |
| Alex Iankoulski | Amazon Web Services | Poster | Cloud Poster Presentations | — |
| Alexander Kanevskiy | Intel | Poster | Cloud Poster Presentations | — |
| Alexander Spiridonov | Poster | Distributed Poster Presentations | — | |
| Angela Yi | Meta | Speaker | PyTorch Edge: Developer Journey for Deploying AI Models Onto Edge Devices | — |
| Animesh Jain | Meta | Poster | 2.X Poster Presentations | — |
| Antoni Viros i Martin | IBM | Lightning talk | Lightning Talk: Lessons from Using Pytorch 2.0 Compile in IBM's Watsonx.AI Inference | — |
| Ashok Emani | Intel | Poster | Backends Poster Presentations | — |
| Avik Chaudhuri | Meta | Lightning talk | Lightning Talk: PT2 Export - A Sound Full Graph Capture Mechanism for PyTorch | — |
| Behzad Abghari | Cerebras | Lightning talk | Lightning Talk: Accelerating LLM Training on Cerebras Wafer-Scale Cluster | — |
| Beinan Wang | Alluxio | Poster | Cloud Poster Presentations | — |
| Benjamin Consolvo | AMD | Lightning talk | Lightning Talk: Seismic Data to Subsurface Models with OpenFWI | — |
| Bin Bao | Meta | Lightning talk | Lightning Talk: AOTInductor: Ahead-of-Time Compilation for PT2 Exported Models | — |
| Bob Chesebrough | Intel | Lightning talk | Lightning Talk: Dinosaur Bone Hunt | — |
| Carlos Mocholí | Lightning AI | Lightning talk | Into Generative AI with PyTorch Lightning 2.0 | — |
| Chen Lai | Metea | Speaker | PyTorch Edge: Vendor Integration Journey for Compilers and Backends | — |
| Chien-Chin Huang | Meta | Speaker | Distributed Checkpoint | — |
| Christian Puhrsch | Meta | Speaker | Accelerating Generative AI | — |
| Christina Zhu | Visier | Lightning talk | Lightning Talk: Leveraging PyTorch 2.0 for Bias Reduction in AI | — |
| Chunxu Tang | Alluxio | Poster | Cloud Poster Presentations | — |
| Daniel Mietchen | FIZ Karlsruhe | Poster | Contributors Poster Presentations | — |
| David Radley | IBM | Poster | Contributors Poster Presentations | — |
| Davis Wertheimer | IBM | Speaker | Lessons Learned in WatsonX Training: Scaling Cloud-Native PyTorch FSDP to 20B Parameters | — |
| Devang Aggarwal | Intel | Lightning talk | Lightning Talk: Accelerating PyTorch Performance with OpenVINO | — |
| Dheeraj Peri | NVIDIA | Lightning talk | Lightning Talk: Accelerated Inference in PyTorch 2.X with Torch-TensorRT | — |
| Dinkar Juyal | PathAI | Lightning talk | Lightning Talk: A Novel Domain Generalization Technique for Medical Imaging Using PyTorch | — |
| Douglas Lehr | AMD | Lightning talk | Lightning Talk: PyTorch 2.0 on the ROCm Platform | — |
| Edward Yang | Meta | Speaker | What's New for Dynamic Shapes in PyTorch 2.1 | — |
| Eikan Wang | Intel | Lightning talk | Lightning Talk: Adding Backends for TorchInductor: Case Study with Intel GPU | — |
| Elias Ellison | Meta | Lightning talk | Lightning Talk: CUDAGraph in a Partial Graph World | — |
| Elias Uriegas | Meta | Speaker | What's New for PyTorch Developer Infrastructure | — |
| Emad Barsoum | Cerebras | Lightning talk | Lightning Talk: Accelerating LLM Training on Cerebras Wafer-Scale Cluster | — |
| Emma Ning | Microsoft | Poster | Backends Poster Presentations | — |
| Evan Smothers | Meta | Speaker | Accelerating Explorations in Vision and Multimodal AI Using Pytorch Libraries | — |
| Felix Baum | Qualcomm | Lightning talk | Lightning Talk: Efficient Inference at the Edge: Performance You Need at the Lowest Power You Deserve | — |
| Francisco Massa | Meta | Poster | Higher Level Libs Poster Presentations | — |
| Frost Mitchell | University of Washington | Poster | Backends Poster Presentations | — |
| Gal Rotem | Meta | Poster | Higher Level Libs Poster Presentations | — |
| George Stefanakis | NVIDIA | Lightning talk | Lightning Talk: Accelerated Inference in PyTorch 2.X with Torch-TensorRT | — |
| Guanhua Wang | Inc | Poster | Application Poster Presentations | — |
| Hamid Shojanazeri | Meta | Lightning talk | Lightning Talk: Exploring PiPPY, Tensor Parallel and Torchserve for Large Model Inference | — |
| Han Qi | Poster | Backends Poster Presentations (Continued) | — | |
| Ho Young Jhoo | Seoul National University | Poster | Distributed Poster Presentations | — |
| Horace He | Meta | Speaker | Accelerating Generative AI | — |
| Hristo Vrigazov | LABS.IO | Poster | Core Tools Poster Presentations | — |
| Iris Zhang | Meta | Speaker | Distributed Checkpoint | — |
| Jae-Won Chung | University of Washington | Lightning talk | Lightning Talk: Energy-Efficient Deep Learning with PyTorch and Zeus | — |
| Jan Sellner | German Cancer Research Center | Poster | Cloud Poster Presentations | — |
| Jane Xu | Meta | Poster | Core Tools Poster Presentations | — |
| Jerry Zhang | Meta | Poster | 2.X Poster Presentations | — |
| Jianhui Li | Intel | Poster | Backends Poster Presentations (Continued) | — |
| Jiewen Tan | Poster | Distributed Poster Presentations | — | |
| Jiewen Tan | Lightning talk | Lightning Talk: Large-Scale Distributed Training with Dynamo and PyTorch/XLA SPMD | — | |
| Jiong Gong | Intel | Poster | 2.X Poster Presentations | — |
| Jiong Gong | Intel | Lightning talk | Lightning Talk: Accelerating Inference on CPU with Torch.Compile | — |
| Juho Ha | FuriosaAI | Poster | Backends Poster Presentations | — |
| Junghwan Park | PyTorchKR | Speaker | PyTorch Korea User Group: The Beginning, Present, and Future | — |
| Junjie Wang | Meta | Poster | Distributed Poster Presentations | — |
| Junjie Wang | Meta | Lightning talk | Lightning Talk: Tensor and 2D Parallelism | — |
| Kanwaljit Khurmi | Amazon Web Services | Poster | Cloud Poster Presentations | — |
| Kazuaki Ishizaki | IBM | Poster | Backends Poster Presentations | — |
| Kimish Patel | Meta | Speaker | PyTorch Edge: Vendor Integration Journey for Compilers and Backends | — |
| Kshama Pawar | Microsoft | Poster | On Device/Edge Poster Presentations | — |
| Kulin Seth | Apple | Lightning talk | Lightning Talk: Enhancements Made to MPS Backend in PyTorch for Applications Running on Mac Platforms | — |
| Kunal Bhalla | Meta | Lightning talk | Lightning Talk: Building Intermediate Logging for PyTorch | — |
| Laurence Rouesnel | Meta | Speaker | The Evolving Landscape of Dataloading | — |
| Li Ning | Amazon Web Services | Speaker | Cost Effectively Deploy Thousands of Fine Tuned Gen AI Models Like Llama Using TorchServe on AWS | — |
| Luca Antiga | Lightning AI | Lightning talk | Into Generative AI with PyTorch Lightning 2.0 | — |
| Lysandre Debut | Hugging Face | Lightning talk | Lightning Talk: Diffusers: Bringing Cutting-Edge Diffusion Models to the Masses | — |
| Maanav Dalal | Microsoft | Lightning talk | Lightning Talk: Streamlining Model Export with the New ONNX Exporter | — |
| Mario Lezcano | OpenAI | Poster | Core Tools Poster Presentations | — |
| Marius Brehler | Fraunhofer-Institute for Material Flow and Logistics | Poster | Backends Poster Presentations | — |
| Mark Browning | Cerebras | Lightning talk | Lightning Talk: Accelerating LLM Training on Cerebras Wafer-Scale Cluster | — |
| Mark Saroufim | GPU Mode | Lightning talk | Lightning Talk: The Fastest Path to Production: PyTorch Inference in Python | — |
| Matteo Interlandi | Microsoft | Lightning talk | Lightning Talk: Tensor Query Processing | — |
| Matthew US | NVIDIA | Lightning talk | Lightning Talk: Harnessing NVIDIA Tensor Cores: An Exploration of CUTLASS & OpenAI Triton | — |
| Mengchi Zhang | Meta | Poster | Backends Poster Presentations (Continued) | — |
| Mengwei Liu | Meta | Speaker | PyTorch Edge: Developer Journey for Deploying AI Models Onto Edge Devices | — |
| Mergen Nachin | Inc | Speaker | Introducing ExecuTorch from PyTorch Edge: On-Device AI Stack and Ecosystem, and Our Unique Differentiators | — |
| Michael Brown | IBM | Poster | Cloud Poster Presentations | — |
| Michael Gschwind | Meta | Poster | Higher Level Libs Poster Presentations | — |
| Michael Gschwind | Meta | Lightning talk | LightningTalk: MultiRay: An Accelerated Embedding Service for Content Understanding | — |
| MICHAEL WINOKUR | Holon Institute of Technology | Poster | Application Poster Presentations | — |
| Mingfei Ma | Intel | Poster | Backends Poster Presentations | — |
| Mingfei Ma | Intel | Lightning talk | Lightning Talk: Standardizing CPU Benchmarking with TorchBench for PyTorch Community | — |
| Mustafa Cavus | Intel | Lightning talk | Lightning Talk: Accelerating PyTorch Performance with OpenVINO | — |
| Natalia Vassilieva | Cerebras | Lightning talk | Lightning Talk: Accelerating LLM Training on Cerebras Wafer-Scale Cluster | — |
| Nicolas Hug | Meta | Speaker | Accelerating Explorations in Vision and Multimodal AI Using Pytorch Libraries | — |
| Nicolas Hug | Meta | Poster | Core Tools Poster Presentations | — |
| Omkar Salpekar | Meta | Speaker | What's New for PyTorch Developer Infrastructure | — |
| Orion Reblitz-Richardson | Meta | Speaker | Introducing ExecuTorch from PyTorch Edge: On-Device AI Stack and Ecosystem, and Our Unique Differentiators | — |
| Oscar Llorente Gonzalez | Ericsson | Lightning talk | Lightning Talk: Uplink Interference Optimizer, How to Optimize a Cellular Network in a Single Shot with GNNs | — |
| Peng Chen | Meta | Speaker | Accelerating Explorations in Vision and Multimodal AI Using Pytorch Libraries | — |
| Peter Bell | Quansight | Poster | 2.X Poster Presentations | — |
| Philip Bontrager | Meta | Speaker | Accelerating Explorations in Vision and Multimodal AI Using Pytorch Libraries | — |
| Philipp Schmid | Hugging Face | Speaker | Getting Started with Pytorch 2.0 and Hugging Face Transformers | — |
| Pierre Guilmin | Alice & Bob and Mines Paris - PSL | Lightning talk | Lightning Talk: Simulating Quantum Systems with PyTorch | — |
| Raymond Lo | Intel | Poster | Backends Poster Presentations | — |
| Rishit Dagli | NVIDIA | Poster | On Device/Edge Poster Presentations | — |
| Rishit Dagli | NVIDIA | Lightning talk | Lightning Talk: Orchestrating Machine Learning on Edge Devices with PyTorch and WebAssembly | — |
| Rodrigo Kumpera | Outropy | Lightning talk | Lightning Talk: Tensor and 2D Parallelism | — |
| Rodrigo Kumpera | Outropy | Poster | Distributed Poster Presentations | — |
| Sanchit Jain | Intel | Poster | Backends Poster Presentations (Continued) | — |
| Saurabh Trikande | Amazon Web Services | Speaker | Cost Effectively Deploy Thousands of Fine Tuned Gen AI Models Like Llama Using TorchServe on AWS | — |
| Sergii Dymchenko | Meta | Lightning talk | Lightning Talk: TorchFix - a Linter for PyTorch-Using Code with Autofix Support | — |
| Shamika Ariyawansa | Amazon Web Services | Poster | Application Poster Presentations | — |
| Shivay Lamba | CNCF Ambassador | Poster | On Device/Edge Poster Presentations | — |
| Shivay Lamba | CNCF Ambassador | Lightning talk | Lightning Talk: Orchestrating Machine Learning on Edge Devices with PyTorch and WebAssembly | — |
| Shubha Kumbadakone | Amazon Web Services | Poster | Application Poster Presentations | — |
| Simon Camphausen | Fraunhofer-Institute for Material Flow and Logistics | Poster | Backends Poster Presentations | — |
| Siyuan Liu | Poster | Backends Poster Presentations (Continued) | — | |
| Sol Kim | FuriosaAI | Poster | Backends Poster Presentations | — |
| Sourab Mangrulkar | Hugging Face | Poster | Application Poster Presentations | — |
| Sourab Mangrulkar | Hugging Face | Speaker | Training a LLaMA in your Backyard: fFne-tuning Very Large Models on Consumer Hardware | — |
| Supriyo Chakraborty | IBM | Speaker | Lessons Learned in WatsonX Training: Scaling Cloud-Native PyTorch FSDP to 20B Parameters | — |
| Suraj Muraleedharan | Amazon Web Services | Poster | Application Poster Presentations | — |
| Swati Gharse | Microsoft | Speaker | Llama V2 in Azure AI for Finetuning, Evaluation and Deployment from the Model Catalog | — |
| Thomas Raoux | OpenAI | Lightning talk | Lightning Talk: Triton Compiler | — |
| Vasiliy Kuznetsov | Meta | Poster | Core Tools Poster Presentations | — |
| Vincent Moens | Meta | Lightning talk | Lightning Talk: TorchRL - RLHF Support | — |
| Wanchao Liang | Inc | Speaker | Composable Distributed PT2(D) | — |
| Weiwen Xia | Intel | Poster | 2.X Poster Presentations | — |
| Will Cromar | Poster | Backends Poster Presentations (Continued) | — | |
| Xilun Wu | Meta | Poster | Distributed Poster Presentations | — |
| Xiongfei Wei | Poster | Backends Poster Presentations (Continued) | — | |
| Xu Zhao | Meta | Speaker | TorchBench: Guarding the Performance of the PyTorch Ecosystem with Continuous Benchmarking | — |
| Xu Zhao | Meta | Lightning talk | Lightning Talk: Standardizing CPU Benchmarking with TorchBench for PyTorch Community | — |
| Yamini Nimmagadda | Intel | Lightning talk | Lightning Talk: Accelerating PyTorch Performance with OpenVINO | — |
| Yamini Nimmagadda | Intel | Poster | Backends Poster Presentations | — |
| Yeounoh Chung | Lightning talk | Lightning Talk: Large-Scale Distributed Training with Dynamo and PyTorch/XLA SPMD | — | |
| Yeounoh Chung | Poster | Distributed Poster Presentations | — | |
| Yi-Hsiang Lai | Amazon Web Services | Poster | Cloud Poster Presentations | — |
| Younes Belkada | Hugging Face | Speaker | Training a LLaMA in your Backyard: fFne-tuning Very Large Models on Consumer Hardware | — |
| Younes Belkada | Hugging Face | Poster | Application Poster Presentations | — |
| Yubo Gao | CentML | Poster | Core Tools Poster Presentations | — |