Cover Image for veScale - A PyTorch-Native Auto-Parallel AI Framework
Cover Image for veScale - A PyTorch-Native Auto-Parallel AI Framework

veScale - A PyTorch-Native Auto-Parallel AI Framework

Hosted by Sydney Collins
Virtual
Registration
Welcome! To join the event, please register below.
About Event

Join the ByteDance Open Source Workshop & Meetup on November 7th at 9:00 AM PT for an in-depth exploration of veScale, a PyTorch-native auto-parallel AI framework designed to streamline AI workflows with ease of use and automation. Perfect for AI/ML developers and system architects, this virtual session will introduce key features that make distributed system design effortless with near-zero code changes.

What to Expect:

  • Explore veScale’s Innovations: Discover how veScale’s PyTorch-native structure and automatic parallelism enhance model execution.

  • Learn from Experts: Gain insights from Ziang Song, Research Scientist at ByteDance, on the latest advances in AI frameworks.

  • Hands-On Learning: See how veScale automatically manages distributed training, checkpoints, and performance modes.

This is your chance to dive into the future of AI development with an innovative, user-friendly framework.

Please note this is not the official registration page. To RSVP for the event, click here → Register Now

Don’t miss this opportunity to level up your AI development skills and connect with the ByteDance Open Source community!