Edge Infrastructure Review

Argentum taps Rafay to orchestrate global GPU capacity as it pushes into neocloud territory

Argentum taps Rafay to orchestrate global GPU capacity as it pushes into neocloud territory

Argentum AI announced its collaboration with Rafay Systems to utilize its platform enabling a customized AI infrastructure solution around the globe for hyperscalers, neoclouds and enterprise GPU users.

By consolidating the management of different software environments for AI operators to a single control plane, Rafay makes it easy to manage complex operations.

Argentum AI has global, multi-GW+ power turnkey data centers with GPU supply, managed services and orchestrated solutions.

“Rafay has built a strong track record helping organizations deploying AI compute at massive scale bring scalable cloud management to their GPU fleets,” says Haseeb Budhani, CEO and co-founder of Rafay Systems. “Argentum represents an important expansion of that capability portfolio, as they operate at a foundational layer in the stack, connecting data center capacity and power to the largest AI operators in the world. They require the same kind of multi-tenant, configurable software orchestration that we have already perfected for cloud builders, so this partnership demonstrates the breadth of use cases Rafay can serve across the AI infrastructure ecosystem, supporting infrastructure intermediaries who make GPU capacity accessible at global scale just as effectively as we support the token factories building at the top of it.”

By 2029, the global spend on AI infrastructure is projected to reach $758 billion, and this partnership aims to meet that demand for scalable Infrastructure as a Service (IaaS), according to IDC.

Rafay’s platform accelerates Argentum’s growth plans, allowing it to evolve into a neocloud provider with no changes to the native software infrastructure underpinning its services.

This partnership allows Argentum to rapidly and cost-effectively provide tailored compute environments for both enterprise and hyperscale buyers of AI infrastructure.

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