Best AI Cloud Providers for NVIDIA virtual GPU

Compare the Top AI Cloud Providers that integrate with NVIDIA virtual GPU as of April 2026

This a list of AI Cloud Providers that integrate with NVIDIA virtual GPU. Use the filters on the left to add additional filters for products that have integrations with NVIDIA virtual GPU. View the products that work with NVIDIA virtual GPU in the table below.

What are AI Cloud Providers for NVIDIA virtual GPU?

AI cloud providers deliver cloud-based infrastructure, platforms, and services optimized for building, training, and deploying artificial intelligence models. They offer scalable compute resources such as GPUs and TPUs, along with managed tools for machine learning, data processing, and model deployment. These providers support a wide range of use cases including generative AI, predictive analytics, computer vision, and natural language processing. AI cloud providers enable organizations to accelerate AI development without managing complex hardware and infrastructure. By combining cloud scalability with advanced AI services, they make enterprise-grade AI more accessible and cost-efficient. Compare and read user reviews of the best AI Cloud Providers for NVIDIA virtual GPU currently available using the table below. This list is updated regularly.

  • 1
    Mistral Compute
    Mistral Compute is a purpose-built AI infrastructure platform that delivers a private, integrated stack, GPUs, orchestration, APIs, products, and services, in any form factor, from bare-metal servers to fully managed PaaS. Designed to democratize frontier AI beyond a handful of providers, it empowers sovereigns, enterprises, and research institutions to architect, own, and optimize their entire AI environment, training, and serving any workload on tens of thousands of NVIDIA-powered GPUs using reference architectures managed by experts in high-performance computing. With support for region- and domain-specific efforts, defense technology, pharmaceutical discovery, financial markets, and more, it offers four years of operational lessons, built-in sustainability through decarbonized energy, and full compliance with stringent European data-sovereignty regulations.
  • 2
    IREN Cloud
    IREN’s AI Cloud is a GPU-cloud platform built on NVIDIA reference architecture and non-blocking 3.2 TB/s InfiniBand networking, offering bare-metal GPU clusters designed for high-performance AI training and inference workloads. The service supports a range of NVIDIA GPU models with specifications such as large amounts of RAM, vCPUs, and NVMe storage. The cloud is fully integrated and vertically controlled by IREN, giving clients operational flexibility, reliability, and 24/7 in-house support. Users can monitor performance metrics, optimize GPU spend, and maintain secure, isolated environments with private networking and tenant separation. It allows deployment of users’ own data, models, frameworks (TensorFlow, PyTorch, JAX), and container technologies (Docker, Apptainer) with root access and no restrictions. It is optimized to scale for demanding applications, including fine-tuning large language models.
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