LF AI & Data Day – ONNX Community Virtual Meetup – Fall

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8:00 AM PST Event Kickoff – Agenda Review
Host: Rajeev Nalawadi (Intel)

ONNX Progress Update
Speakers: ONNX Steering Committee
Prasanth, Alex, Mayank, Wenming, Rajeev
8:15 AM PSTCommunity Presentations – Agenda Review
ONNX SC Member

ONNX Runtime Web: Running Your Machine Learning Model in Browser
Speaker: Emma Ning (Microsoft)

ONNX as a Standard Format for Institution with Legacy
Speaker: Haixuan Xavier Tao ( Banque France)

ONNX and the AI on IBM Z Client Journey
Speaker(s): Elpida Tzortzatos & Andrew M. Sica (IBM)

Intel® Neural Compressor: A Scalable Quantization Tool for ONNX Models
Speaker: Mengni Wang (Intel)

Ascend CANN and ONNX : Inference Interoperability for Better Performance
Speaker: Zhipeng Huang (Huawei)

Intel® OneAPI software stack: ONNX Support for xPU Hardware
Speaker: Kiefer Kuah (Intel)

ONNX: Boosting PaddlePaddle Deployment in Industry
Speaker: Ti Zhou (Baidu)

Auditing Considerations for ONNX Models and Benchmarking with QuSandbox
Speaker: Sri Krishnamurthy (QuantUniversity)

TVM: Dynamic Shapes, Control Flow, and Quantization with a Compiler
Speaker: Jason Knight (OctoML) & Andrew Luo (OctoML)

Place of ONNX in OpenVINO Ecosystem
Speaker: Sergey Lyalin (Intel)

Triton & ONNX Runtime
Speaker: Ashwini Khade (Microsoft)
10:10 AM PSTSIGs and WGs Updates – Agenda Review
ONNX SC Member

Architecture/Infrastructure SIG Update
Co-Chairs: Ashwini Khade (Microsoft)

Operators SIG Update
Co-Chairs: Michal Karzynski (Intel), Ganesan Ramalingam (Microsoft)

Converters SIG Update
Co-Chairs: Chin Huang (IBM), Guenther Schmuelling (Microsoft)

Model Zoo / Tutorials SIG Update
Co-Chairs: Wenbing Li (Microsoft) & Mark Hamilton (Microsoft)

Pre-processing WG
Co-chairs: Joaquin Anton (Nvidia)

Q&A and Meetup Conclusion
ONNX SC Member