VAST Data has partnered with Megaport to support the development of Megaport's global automated infrastructure platform. Following Megaport's acquisition of Latitude.sh, the company is expanding its offerings to include compute and GPU services, with VAST providing data services as part of the platform.

As organisations move AI applications into production, these workloads increasingly operate across multiple cloud environments and data centres. This creates a need for infrastructure that can support access to available compute resources while meeting operational and compliance requirements. At the same time, organisations often manage separate networking, compute, and data platforms.
Megaport's private connectivity services, Latitude.sh's automated compute capabilities, and VAST's data services can be combined to support the deployment of AI workloads across distributed environments. Together, these components provide networking, compute, and data management capabilities within a single infrastructure framework.
Many organisations require infrastructure that integrates networking, compute, and data services while supporting automation and flexibility for AI workloads. VAST's software provides a data services layer that operates across Megaport and Latitude.sh environments, enabling customers to manage data for AI workloads across multiple locations and platforms.
For Megaport customers, managing infrastructure capacity is one consideration, while data access and management across AI workloads is another. VAST's DataSpace provides a global namespace designed to support consistent data access and management across on-premises environments, cloud providers, neoclouds, and edge locations, without requiring separate copies of data in each location.
As AI deployments expand, organisations may face challenges associated with managing infrastructure across multiple environments. Megaport's connectivity platform and VAST AI OS are intended to provide integrated networking, compute, and data capabilities to support AI workloads in production environments.