Unlock Agentic Breakthroughs with a Purpose-Built AI Cloud

Foundational essentials for high-performing AI workloads

Delivering efficient, responsive agentic AI starts with breaking through architectural and orchestration bottlenecks—the make-or-break divide between vision and actual velocity. Join CoreWeave’s Head of Solutions Architecture Jacob Feldman and guest speaker Mike Gualtieri, VP and Principal Analyst from Forrester, as they explore how to maximize speed, reliability, and performance across agentic AI workloads.

Together, they will examine the practical realities behind Agentic AI and unpack the core components required to build reliable, production-grade systems—from preparing and accessing data, to fine-tuning and reinforcement learning, to managing increasingly complex, multi-step inference, and scaling training with confidence. Each stage is accelerated and made more reliable by a compute, networking, and orchestration stack purpose-built for AI.

You’ll learn:
  • How to choose between fine-tuning, RL, and retraining
  • How data locality and high-throughput fabrics improve responsiveness
  • Why purpose-built AI infrastructure is critical for scalable agentic systems 

Pakkuja: CoreWeave, Inc.   |   Keel: English