2 posts tagged with "infiniband"

Turning Bare Metal into Tenant-Ready AI Infrastructure

Introduction​

Modern AI infrastructure demands more than raw GPU horsepower. Getting hundreds — or thousands — of GPUs from freshly racked-and-stacked to a fully operational, multi-tenant AI cluster requires a sophisticated orchestration layer that spans hardware discovery, network fabric programming, firmware validation, and tenant isolation. With newer generations of rack-scale AI supercomputer products such as NVL72, the provisioning, configuration, and management challenges have become extremely complex.

That is exactly what Bridge by Armada, by incorporating the open-source NVIDIA NICo project (NVIDIA Infra Controller, formerly Carbide), delivers.

Managing network isolation in AI cloud environments is critical for ensuring tenant data security, performance consistency, and compliance. This becomes even more important in high-performance AI clusters that rely on InfiniBand fabric for ultra-low latency communication between GPU nodes.

With Bridge GPU Cloud Management Software (GPU CMS), cloud providers can achieve complete InfiniBand network isolation for every tenant—all through an automated, policy-driven process. This ensures each tenant's data and traffic are fully segregated, with no manual intervention required.