AI/ML Infra Meetup at Uber Seattle (Downtown Seattle & Virtual)
Monday, March 6th update from the host:
Our in-person event is overbooked. Capacity is strictly limited to 50 guests due to Uber office policies. We will not be able to admit additional attendees once we reach this limit. Therefore, It is possible that some of you could not get in because of this. We apologize in advance if we cannot accommodate you. 🙏
If you're unable to join us in person, we invite you to participate via our live stream: https://us06web.zoom.us/webinar/register/WN_P5jHMPBgRGCoLnXIU_23wg. We appreciate your understanding and look forward to your participation, whether in person or online.
We are co-hosting the next AI/ML infra meetup with Uber's AI Platform team in Seattle, WA! This meetup features THE BEST TALKS EVER! Join tech leaders to engage and discuss the latest in AI/ML infrastructure.
This meetup will be held in person at Uber Technologies Seattle Engineering Office and live-streamed. Experts from Uber, Snap, and Alluxio will give talks and share insights and real-world examples about LLM training, fine-tuning, deployment, designing scalable architectures, GPU optimization, building recommendation apps, and more.
Select how you would like to join the event by choosing the ticket type.
Please note that:
In-person attendance is limited to 50 guests.
Live stream will start at 5:30 PM PT. You will receive a Zoom link one day and one hour before the event.
Speakers:
Sean Po, Staff Software Engineer @ Uber
Tse-Chi Wang, Senior Software Engineer @ Uber
Chongxiao Cao, Senior Software Engineer @ Uber
Bin Fan, VP of Technology @ Alluxio
Xu Ning, Director of Engineering, AI Platform @ Snap
Agenda:
Doors open at 4:30 PM
4:30 PM: Check-in
5:30 PM: Deployment, Serving, & Discovery of LLMs at Uber Scale
5:55 PM: Optimizing ML Data Access with Alluxio: Preprocessing, Pretraining, & Inference at Scale
6:20 PM: How Uber Optimizes LLM Training and Finetune
6:55 PM: Building Production Platform for Large-Scale Recommendation Applications
7:20 PM: Networking and dinner
Doors close at 8:00 PM
Join the Alluxio Community
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📖 Download the PyTorch Tuning Guide
If you have any questions, please contact Hope Wang at hope.wang@alluxio.com.