AI initiatives are rapidly moving beyond experimentation, but many organizations are discovering that their infrastructure was never designed to support the scale and speed AI demands. In this session, Dell will share how organizations are aligning compute, storage, and networking to build environments capable of supporting modern AI workloads from edge to core to cloud. Attendees will gain practical insight into how teams are evolving infrastructure strategies to move AI initiatives from isolated pilots into scalable, production-ready systems.

BWG Connect, Insight Enterprises & Dell invite you to join an interactive event with industry peers to review & discuss practical insights across the digital space.

As always, there will be no sales pitch and all attendees are welcome to listen and learn.

• Turning AI ambition into infrastructure reality
  • Where fragmented compute, storage, and networking environments are slowing AI progress
  • How infrastructure decisions are shifting as organizations move beyond experimentation
• Designing environments that can scale from model training to inference
  • Managing data pipelines, GPU utilization, and orchestration across AI workloads
  • Planning infrastructure that supports both model development and real-time inference
• Where storage and data architecture become the AI bottleneck
  • The role of high-performance storage in enabling faster data access and throughput
  • Strategies teams are using to prevent data pipelines from slowing model development
• Balancing performance, cost, and operational complexity in AI infrastructure
  • Managing the tradeoffs between GPU capacity, infrastructure utilization, and cost
  • Simplifying infrastructure operations while maintaining performance for AI workloads
• Moving from AI pilots to durable production systems
  • Lessons from organizations scaling AI initiatives into repeatable production environments
  • What infrastructure teams are changing to support enterprise-wide AI adoption