Event details
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 break down five essential workloads that define what it takes to build reliable, production-grade systems: model training; post-training refinement, such as reinforcement learning; data preparation; inference; and optimization for accuracy and efficiency. Each workload is accelerated and made more reliable by a compute, networking, and orchestration stack purpose-built for AI. You’ll learn:
- When to retrain vs. fine-tune—and why
- How data locality and high-throughput fabrics drive responsiveness
- Why purpose-built AI infrastructure is essential to move from experimentation to production with confidence
Speakers
As a long time member of the CoreWeave team, Jacob Feldman works closely with customers across use cases to design and implement solutions. Whether it’s troubleshooting difficult issues or solving problems of scale, Jacob has been witness to customers achieving incredible feats on CoreWeave.
