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Architecting High-Performance AI Infrastructure:

Networking from Data Center to Cloud GPU to the User – presented by Global Head of Solution Architects, Jason Bordujenko

As enterprises move AI from proof of concept to production, the underlying infrastructure becomes critical. Watch our on-demand webinar, where Megaport and Vultr explore how organizations are building robust hybrid architectures to support AI workloads at scale.

Our speakers conclude with a live demo, showing you how to establish dedicated, private connections between your existing infrastructure and GPU-as-a-Service resources using Megaport’s networking platform.

You’ll learn practical approaches to building a resilient AI infrastructure that maintains data sovereignty while enabling high-performance computing at the edge and in the cloud.

In this technical session, we examine:

Hybrid infrastructure designs for managing AI data pipelines across on-premises, colocation, and cloud environment
Best practices for secure, low-latency connectivity to GPU resources
Building diversity and 99.99 % resiliency in minutes, not months
Network architecture considerations for training and inference workflows
Real-world examples of enterprises optimizing their existing infrastructure investments while leveraging GPU-as-a-Service