As frontier LLMs grow ever larger, the challenge is no longer just raw compute—it’s deploying them efficiently, reliably, and at scale. In this session, Rebellions presents its full-stack approach to AI infrastructure, from advanced NPUs and chiplet interconnects to an optimized software stack and production-ready deployment frameworks. Attendees will see a demo of MoE inference and explore real customer use cases spanning security, vision, and enterprise AI applications. Discover how Rebellions’ approach bridges innovation and practicality—delivering enterprise-grade efficiency, scalability, and lower TCO for real-world data centers.

As AI-native cloud platforms scale to meet global demand, the data center IT infrastructure powering generative AI has become a prime target for attackers. In this session, Dr. Yuriy Bulygin—CEO of Eclypsium and former Chief Threat Researcher at Intel—shares a case study from one of the world’s fastest-growing AI cloud providers that supports OpenAI, Microsoft, and NVIDIA workloads and how they are offering secure AI infrastructure that their customers demand.

This provider faced the challenge of protecting thousands of specialized servers, GPUs, and system components—without slowing growth. Learn how they implemented a turn-key approach to data center security, leveraging firmware integrity verification, automated vulnerability management, and continuous supply chain monitoring.

Attendees will gain insight into:

• Why infrastructure threats in AI data centers are rising—and often invisible
  
  

• What does a secure AI cloud look like and how to minimize risk
  
  

• Lessons for building resilient, secure AI data centers without adding operational drag
  
  

If you're responsible for AI infrastructure, securing the data center isn’t just an IT concern—it’s foundational to model integrity and platform trust.