AI Infra Meetup with Meta, Uber, Alluxio & SkyPilot @ AWS Gen AI Loft (San Francisco & Virtual)

​Join us in person for the AI Infra Meetup hosted at AWS Builder Loft in San Francisco, CA & virtually.

​Hear from industry leaders at Meta, Uber, Alluxio, and SkyPilot as they share their insights on the latest trends in AI infrastructure!

​📌 Location:

​First Market Tower, 525 Market St, 2nd Floor, San Francisco, CA 94105

​🎤 Speakers:

​Jiani Wang, Software Engineer @ Meta's PyTorch Team

​Eric Wang, Senior Staff Software Engineer @ Uber's AI Platform Team

​Bin Fan, VP of Technology @ Alluxio

​Zongheng Yang, Co-Creator of SkyPilot

​💡 Presentations:

• ​Open Source Michelangelo: Uber's Predictive to Generative end to end ML Lifecycle management platform - Eric Wang

• ​Unlock the Future of Generative AI: TorchTitan's Latest Breakthroughs - Jiani Wang, Meta

• ​Bringing Data to GPUs Anywhere + Get Low-Latency on Object Store with Alluxio - Bin Fan

• ​SkyPilot: open-source system to scale AI across clusters, hyperscalers, and neoclouds - Zongheng Yang

​📅 Agenda:

• ​Doors open at 5:00 PM​​

• ​5:00 PM: Check-in, Networking with light bites and drinks

• ​6:00 - ​7:30 PM: Presentations

• ​7:30 - 8:30 PM: Networking Happy Hour

• ​Doors close at 8:30 PM

​​🚪 Venue Entry Details

• ​​​All guests must be registered for the event.

• ​​​All guests must present a valid government-issued ID, which is mandatory, no exceptions.

• ​​​📍 AWS GenAI Loft, 525 Market Street, 2nd Floor Courtyard Entrance, San Francisco.

• ​​​Enter via the courtyard entrance (stairs by circular water fountain).

• ​​​For accessible entry, please use the reception desk to request elevator access.

​By registering for this event, you acknowledge that you are 18 years or older and agree to follow the AWS Community Codes of Conduct and the AWS Event Terms and Conditions.

​​About Alluxio

​​Alluxio is the leading data access acceleration platform for AI workloads. Alluxio’s distributed caching layer seamlessly brings data closer to AI workloads to maximize I/O throughput for model training and deployment while also accelerating inference workloads with sub-millisecond time to first byte latency for feature store queries, agentic memory, and more.

​Join the Community

• ​​​​​💬 Book a 15-minute Alluxio demo​

• ​💡​We are hiring! Check out the job openings​

• ​​🧑‍💻​ Join Alluxio Community Slack

• ​​​🐦​ Follow Alluxio on Linkedin & Twitter / X

• ​​​​📺 Subscribe to the Alluxio YouTube Channel

• ​​​📖 Download the PyTorch Tuning Guide

​If you have any questions, please contact Hope Wang at [email protected].