Best Cloud GPU Providers

Compare the Top Cloud GPU Providers as of November 2025

What are Cloud GPU Providers?

Cloud GPU providers offer scalable, on-demand access to Graphics Processing Units (GPUs) over the internet, enabling users to perform computationally intensive tasks such as machine learning, deep learning, scientific simulations, and 3D rendering without the need for significant upfront hardware investments. These platforms provide flexibility in resource allocation, allowing users to select GPU types, configurations, and billing models that best suit their specific workloads. By leveraging cloud infrastructure, organizations can accelerate their AI and ML projects, ensuring high performance and reliability. Additionally, the global distribution of data centers ensures low-latency access to computing resources, enhancing the efficiency of real-time applications. The competitive landscape among providers has led to continuous improvements in service offerings, pricing, and support, catering to a wide range of industries and use cases. Compare and read user reviews of the best Cloud GPU providers currently available using the table below. This list is updated regularly.

  • 1
    Google Compute Engine
    Google Compute Engine enables users to access high-performance cloud GPUs that can be attached to virtual machines for resource-intensive workloads. Cloud GPUs are ideal for tasks such as machine learning, video rendering, 3D modeling, and scientific simulations, providing the power needed for demanding computations. Google offers a variety of GPU options, including NVIDIA Tesla K80s, P4s, T4s, and V100s, to meet specific performance needs. New customers get $300 in free credits to explore Cloud GPU resources and utilize them in a range of GPU-accelerated applications, helping them optimize performance and reduce time to results.
    Starting Price: Free ($300 in free credits)
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  • 2
    Azure Virtual Machines
    Migrate your business- and mission-critical workloads to Azure infrastructure and improve operational efficiency. Run SQL Server, SAP, Oracle® software and high-performance computing applications on Azure Virtual Machines. Choose your favorite Linux distribution or Windows Server. Deploy virtual machines featuring up to 416 vCPUs and 12 TB of memory. Get up to 3.7 million local storage IOPS per VM. Take advantage of up to 30 Gbps Ethernet and cloud’s first deployment of 200 Gbps InfiniBand. Select the underlying processors – AMD, Ampere (Arm-based), or Intel - that best meet your requirements. Encrypt sensitive data, protect VMs from malicious threats, secure network traffic, and meet regulatory and compliance requirements. Use Virtual Machine Scale Sets to build scalable applications. Reduce your cloud spend with Azure Spot Virtual Machines and reserved instances. Build your private cloud with Azure Dedicated Host. Run mission-critical applications in Azure to increase resiliency.
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