The Blueprint for AI at Scale: Direct Insights from NVIDIA and VAST Data

Post-GTC 2026, the architecture for production-grade AI has fundamentally shifted. Join this technical briefing to analyze the new design patterns for GPU-accelerated pipelines and inference-optimized storage.

Speakers:

• John Mao: VP of Global Business Development & Alliances, VAST Data

• Jason Hardy: VP of Storage Technology, NVIDIA

• Nicole Hemsoth Prickett: Head of Industry Relations, VAST Data (Host)

This session bypasses the hype to focus on the unified compute-plus-data architectures required for modern AI workloads. We are diving into the engineering of accelerated data paths, context-optimized inference, and the deployment of validated Foundation Stacks.

Why You Won't Want to Miss This:

• Architectural Clarity: Discover which emerging architectures are winning and why

• Workflow Optimization: Learn how AI pipelines can be simplified and accelerated with software and hardware innovations + Foundation Stacks and AI blueprints that enterprises can adopt quickly for production use

• A Modernization Roadmap: Get the practical and tactical steps required to future-proof AI-powered innovations

Stop guessing and start building. Gain a definitive understanding of the trends shaping the next generation of AI infrastructure.