Compare the Top Cloud GPU Providers that integrate with GitLab as of July 2026

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

What are Cloud GPU Providers for GitLab?

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 for GitLab currently available using the table below. This list is updated regularly.

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    Akamai Cloud
    Akamai Cloud (formerly Linode) is the world’s most distributed cloud computing platform, designed to help businesses deploy low-latency, high-performance applications anywhere. It delivers GPU acceleration, managed Kubernetes, object storage, and compute instances optimized for AI, media, and SaaS workloads. With flat, predictable pricing and low egress fees, Akamai Cloud offers a transparent and cost-effective alternative to traditional hyperscalers. Its global infrastructure ensures faster response times, improved reliability, and data sovereignty across key regions. Developers can scale securely using Akamai’s firewall, database, and networking solutions, all managed through an intuitive interface or API. Backed by enterprise-grade support and compliance, Akamai Cloud empowers organizations to innovate confidently at the edge.
  • 2
    Thunder Compute

    Thunder Compute

    Thunder Compute

    Thunder Compute is a GPU cloud platform built for teams searching for cheap cloud GPUs without sacrificing performance, reliability, or ease of use. Developers, startups, and enterprises use Thunder Compute to launch H100, A100, and RTX A6000 GPU instances for AI training, LLM inference, fine-tuning, deep learning, PyTorch, CUDA, ComfyUI, Stable Diffusion, batch inference, and high-performance GPU workloads. With fast GPU provisioning, transparent pricing, persistent storage, and simple deployment, Thunder Compute makes cloud GPU hosting more accessible and cost-effective than traditional hyperscalers. Whether you need affordable GPUs for machine learning, a GPU server for AI, or a low-cost alternative to expensive GPU cloud providers, Thunder Compute helps you scale quickly with reliable on-demand GPU infrastructure designed for modern AI workloads. Thunder Compute is ideal for startups, ML engineers, and research teams that want cheap cloud GPUs with fast setup and predictable costs.
    Starting Price: $0.27 per hour
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