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Growth · January 6, 2026

GPU as a Service

GPU as a Service (GPUaaS)

What it does

GPU as a Service (GPUaaS) is a cloud-based computing model that provides on-demand access to high-performance graphics processing units without the need to invest in expensive physical hardware. It enables businesses, developers, and researchers to run compute-intensive workloads such as artificial intelligence, machine learning, deep learning, data analytics, video rendering, and scientific simulations with ease.

Does a similar job

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  • GPU as a ServiceOct 2025 · ▲11

    AI Journey Starts Here

  • AT
    Attaching to a virtual GPU over TCP2024 · thundercompute.com · ▲344

    We developed a tool to trick your computer into thinking it’s attached to a GPU which actually sits across a network. This allows you to switch the number or type of GPUs you’re using with a single command.

  • OG
    Oblivus GPU Cloud – Affordable and scalable GPU servers from $0.29/hr2023 · oblivus.com · ▲193

    Greetings HN! This is Doruk from Oblivus, and I'm excited to announce the launch of our platform, Oblivus Cloud. After more than a year of beta testing, we're excited to offer you a platform where you can deploy affordable and scalable GPU virtual machines in as little as 30 seconds! https://oblivus.com/cloud - What sets Oblivus Cloud apart? At the start of our journey, we had two primary goals in mind: to democratize High-Performance Computing and make it as straightforward as possible. We understand that maintaining GPU servers through major cloud service providers can be…

  • VA
    vGPU and SR-IOV on consumer GPUs2021 · arccompute.com · ▲203
  • SS
    Shadeform – Single Platform and API for Provisioning GPUs2023 · shadeform.ai · ▲62

    Hi HN, we are Ed, Zach, and Ronald, creators of Shadeform (https://www.shadeform.ai/), a GPU marketplace to see live availability and prices across the GPU market, as well as to deploy and reserve on-demand instances. We have aggregated 8+ GPU providers into a single platform and API, so you can easily provision instances like A100s and H100s where they are available. From our experience working at AWS and Azure, we believe that cloud could evolve from all-encompassing hyperscalers (AWS, Azure, GCP) to specialized clouds for high-performance use cases. After the launch of…

  • Modal NotebooksSep 2025 · ▲140

    High-performance, collaborative GPU notebooks in the cloud

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