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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
Find out how to connect your business in 60 seconds.
We’ve helped hundreds of customers, just like you, to simplify their connectivity.
Need help mapping your own AI infrastructure?
With a Megaport Solutions Architect