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WHITEPAPER

Software-Defined GPU

Making GPUaaS work for service providers and the mainstream AI hosting market

You're not virtualizing GPU the wrong way – you're just not doing it the optimal way for maximum utilization, flexibility and ROI from your hardware investments.

This high-level whitepaper explains the difference between GPU virtualization and true GPU as a Service (GPUaaS).

It explores the benefits and drawbacks of GPU passthrough, instancing and slicing, and explains why service provider GPUaaS requires a different approach – especially for AI inference workloads. To get your free copy, just fill out the form.

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Software-Defined GPU Whitepaper
https://cdn.prod.website-files.com/69f057a870d32ca4d2aed441/6a3557548a70f7dc619c2dad_hosted.ai-software-defined-GPU-whitepaper-v30825.pdf
Understand why GPU passthrough and MIG fall short for service provider GPUaaS — and how a software-defined approach unlocks maximum utilization, flexibility, and ROI, especially for AI inference workloads.
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