Category: Whitepaper

  • Neocloud Survival Guide

    Neocloud Survival Guide

    NEOCLOUD SURVIVAL GUIDE

    How to 5x your GPU revenue + margin

    Most Neoclouds have a problem: it’s hard to see a future where the business is actually profitable.

    Some companies in this space have already folded. Many more are struggling to make the numbers add up, because super-high GPU capex + low utilization + price erosion + commoditization = little or no ROI.

    Let’s fix that.


    Everyone agrees that AI is the future, but how do you build an infrastructure business for AI that will still be in business next year, let alone in five years’ time?

    Get your copy of the Neocloud Survival Guide, and learn how to 5x your GPU revenue and margin.


    Contents

    The Neocloud profitability problem

    Rethink the madness: change 4 things

    Your new game plan

    5x ROI illustrated

    Next steps

  • Software-Defined GPU

    Software-Defined GPU

    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.


    Contents

    Why GPU virtualization ≠ GPUaaS

    What does service provider GPUaaS need?

    Software-Defined GPU requirements

    hosted·ai GPUaaS architecture

    hosted·ai hyperconverged platform

    Standalone GPUaaS with hosted·ai

    More information