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GPU Cloud Platform Guide

Five fundamentals to discuss with your GPU cloud platform provider

Traditional service providers need to evolve their offering from IaaS to GPUaaS. Neoclouds need to build the platform right, first time, to ensure a successful future. The GPU orchestration platform / control plane you choose is critical.

This guide helps you assess GPU cloud platform features against the success criteria of multi-tenant service providers (neoclouds, CSPs, hosts, telcos).

How to use this guide

Each section of the guide provides questions you can ask platform vendors about five fundamental feature categories that determine those success criteria:

Success criteria

Control of service design, deployment model, branding, access, location
Flexible pricing – ability to price GPUaaS tiers for specific customer segments
Inference ready – enabling GPU to flex and scale like cloud for variable workloads
Ecosystem integration – ability to slot into existing provider workloads and tools
Profitability – optimal utilization, minimal operational overheads, maximum margins
Simple UX for admins and customers – easy management and consumption

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GPU Cloud Platform Guide
https://cdn.prod.website-files.com/69f057a870d32ca4d2aed441/6a38f8a01051ca440041089f_GPU-cloud-platform-guide-five-fundamentals-hostedai-v11125.pdf
Assess the five fundamental feature categories that determine success for multi-tenant GPU cloud providers — covering service design, flexible pricing, inference readiness, ecosystem integration, and profitability.
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