In the Token Economy, winning isn’t about having more GPUs, it’s about getting more value from every one you already have.

As power limits and GPU scarcity reshape the AI landscape, leading organizations are shifting from deployment to optimization: maximizing AI output, reducing waste, and turning constrained infrastructure into a competitive advantage.

Join executives from IBM, NVIDIA, and Red Hat to learn how an integrated AI stack can transform underutilized clusters into high-performing AI engines; driving more intelligence, faster outcomes, and measurable ROI from your existing footprint.

Who should attend: 

CIOs, CTOs, Heads of AI/ML, Infrastructure and Platform Leaders, and IT decision-makers responsible for scaling AI efficiently and driving measurable business outcomes.

What you'll learn: 

• How to improve AI ROI by optimizing cost per token, not just scaling hardware
• Ways to accelerate model performance by reducing data bottlenecks
• Proven approaches to eliminate idle GPUs and increase utilization
• How to scale AI workloads without adding new infrastructure
• Why a unified stack across compute, data, and software unlocks consistent performance

Speakers:

Sam Werner, General Manager IBM Storage