Building Resilient Networks for Production AI Workloads
As enterprises move AI from proof-of-concept to production, the underlying infrastructure becomes critical. Join Megaport and Vultr to explore how organizations are building robust hybrid architectures to support AI workloads at scale.
In this technical session, we'll examine:
Each session will last around 40 minutes followed by Q&A. Simply select the time zone that suits you best.
In this technical session, we'll 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
- Network architecture considerations for training and inference workflows
- Real-world examples of enterprises optimizing their existing infrastructure investments while leveraging GPU-as-a-Service
Our speakers will finish 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 compute at the edge and in the cloud.
Each session will last around 40 minutes followed by Q&A. Simply select the time zone that suits you best.
|
Session 1 | APAC: |
Thursday, 6th March 10:00am AEST |
|
Session 2 | EMEA: |
Thursday, 6th March 10:00am GMT | 11:00am CET |
|
Session 3 | NAM: |
Thursday, 6th March 11:00am PST | 2:00pm EST |
|
Location: |
Online |
By registering, you consent to your contact details being shared with Vultr and Megaport. Your information may be used by these companies to contact you regarding their services, promotions, and relevant updates. For more details on how your data is handled, please refer to the respective privacy policies of Vultr and Megaport.
