Bare Metal Isn’t a Business Model: How Cloud Providers Monetize AI Infrastructure
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Browse a selection of topics to strengthen expertise in categorical areas.

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In Part-2, we show how you can provide users the means to select fractional GPU memory.
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Learn about Rafay's approach to drift prevention and detection in this blog.
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Cloud providers offering GPU or Neo Cloud services need accurate and automated mechanisms to track resource consumption.
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Watch the discussion to hear how Cassava Technologies and Rafay are helping create the operational foundation for Africa’s AI future.
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The Rafay Platform gives NeoCloud operators the foundation to deliver self-service AI compute across bare metal, virtual machines, Kubernetes, SLURM, and inference workloads.
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Haseeb Budhani, CEO and co-founder of Rafay Systems, joins theCUBE to discuss the rise of neoclouds, the global demand for AI infrastructure, and what providers must do to move beyond raw GPU capacity.
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This interview was conducted by JetStor at Supercomputing 2025 and features Rafay Chief Product Officer Mohan Atreya on the rapidly changing AI infrastructure landscape.
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Measured production data showing how GPU operators can boost annual revenue per GPU by 2x–4.8x by shifting from hourly rental to token-metered AI services.
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What it takes to operate a multi-tenant AI cloud as an NVIDIA Cloud Partner
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This playbook outlines a practical, phased approach for telecommunications providers to transform existing GPU infrastructure into a revenue-generating AI Factory in as little as 12 weeks
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Learn how to transform GPU infrastructure into a self-service, revenue-generating AI platform.
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Learn how the Rafay Platform "allows CIOs to align their AI strategies with national regulatory frameworks while maintaining global scalability and agility" in this analyst report.
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