The CoreWeave Cloud Platform is one unified platform for AI: Forge to accelerate the loop of building and improving models and agents, and Infrastructure to power it at scale. Join us one Wednesday per month for live demos, fun conversations, and real-world advice for building models and agents using the latest product capabilities. Each session is interactive by design, so attendees can ask questions live about the latest product enhancements and get practical guidance directly from our panel of speakers.
November 2026: What’s new from GTC Berlin
November 18, 2026 @10am PT
GTC Berlin brought new launches across the CoreWeave platform, from running Physical AI workloads, to securing your models and data, to the next generation of NVIDIA compute. Join CoreWeave for a walkthrough of what was announced, what it means for AI teams, and where to start:
Run Physical AI workloads: See how CoreWeave Physical AI Launchables Templates bring supported robotics and autonomous-systems workloads, such as driving scenario evaluation and synthetic scene generation, together with tested configurations, a common CLI, and inspectable results.
Zero Trust AI in action: Explore how CoreWeave is putting its Zero Trust AI strategy into practice, with a closer look at how customer-controlled security capabilities help enterprises protect sensitive AI workloads.
Plan for NVIDIA HGX Rubin NVL8: Preview the eight-GPU, HBM4-based node coming to CoreWeave Cloud this quarter, where it fits across agentic AI, data analytics, and HPC, and how to test your workload early.
We’ll close each session with open Q&A, giving you direct access to our panel of AI experts to workshop your real-world challenges.
December 2026: What’s new in AI development
December 16, 2026 @10am PT
Make every experiment more informative and every iteration count. Join Weights & Biases by CoreWeave for live demos and technical insights into the latest capabilities and workflows for AI researchers and developers:
Accelerate experimentation: Explore approaches to comparing runs, analyzing model behavior, and keeping results reproducible
Build more reliable AI: Learn techniques for using evaluation and observability to diagnose failures and guide improvements in models and agents
Put new capabilities to work: Get implementation tips and practical examples you can adapt to your own research and development workflows
We’ll close each session with open Q&A, giving you direct access to our panel of AI experts to workshop your real-world challenges.
