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Conference

AI Engineer World’s Fair

  • June 29, 2026
  • San Francisco
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Event Overview
Weights & Biases by CoreWeave is excited to announce we'll be sponsoring the AI Engineer World's Fair this upcoming week! We'll have a strong presence with multiple presentations and a booth featuring a specially trained humanoid robot stationed with us. Stop by the booth (location U-G-24) to meet our humanoid and learn how you can use W&B for agent and model evaluation, monitoring, and training. While you're there, you'll get an early look at a set of new features we're rolling out at the show, along with a few hints at the bigger changes we have on the horizon. Come learn about inference, autonomous research, RL, evaluations, and the next generation of programming from our top experts at our various talks. Looking forward to seeing you there!
Sessions include

From Zero to Leaderboard: Building an End-to-End AI Agent Evaluation Pipeline
Wolfram Ravenwolf, AI Evangelist, Weights & Biases by CoreWeave
Day 1: June 29, 2026 @ 12:10 pm- 1:10 pm
Room 2005

Closing the Loop: An Autonomous AI Research Agent
Tim Sweeney, Principal Engineer, Weights & Biases by CoreWeave
Day 3: July 1, 2026 @ 1:30 pm- 1:50 pm
Main Stage

Inference is the New Training Loop: Architecting High-Reliability Agents and Continuous AI Systems
David Corbitt, Head of Product, Serverless Training, CoreWeave
Day 3: July 1, 2026 @ 3:20 pm – 3:40 pm
Room 3020

The Z/L Continuum: Should AI Engineers Still Read Code?
Alex Volkov, AI Evangelist & Host of ThursdAI, Weights & Biases by CoreWeave
Day 3: July 1, 2026 @ 10:45 am- 11:05 am
Room 3020

Vertical Mobility: Building an AI Inference Platform That Scales from MVP to Trillion-Parameter Workloads
Rita Zhang, Principal Software Engineer, CoreWeave, and Sitanshu Gupta, Director of Inference, CoreWeave
Day 4: July 2, 2026 @ 12:05 pm- 12:25 pm
Room 2016

 

Join us to learn
  • Lessons on scaling from CoreWeave’s inference stack
  • How we benchmark agents at scale
  • How to leverage native observability, serverless RL, and optimized inference stacks to continuously refine model behavior
  • How to use W&B Weave for agents

Featured
speakers