Compare the Top Cloud GPU Providers that integrate with Keras as of September 2026

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

What are Cloud GPU Providers for Keras?

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

  • 1
    Database Mart

    Database Mart

    Database Mart

    Database Mart offers a comprehensive suite of server hosting solutions tailored for diverse computing needs. Their VPS hosting provides isolated CPU, memory, and disk resources with full root or admin access, supporting various applications such as database hosting, mail servers, file sharing, SEO tools, and script testing. These VPS plans come with SSD storage, automated backups, and an intuitive control panel, making them ideal for individuals and small businesses seeking cost-effective solutions. For more demanding applications, Database Mart's dedicated servers offer exclusive resources, ensuring superior performance and security. These servers are customizable to support large software systems and high-traffic e-commerce platforms, providing reliability for critical operations. Their GPU servers feature high-performance NVIDIA GPUs, catering to high-performance computing and advanced AI workloads.
    Starting Price: $2.99 per month
  • 2
    Thunder Compute

    Thunder Compute

    Thunder Compute

    Thunder Compute is a GPU cloud for developers. It features competitive pricing, simple UX, and pre-built tools for common AI workflows. Most neoclouds are real-estate companies; they build data centers, with software as an afterthought. That software is what developers see, touch, and interact with every day. It is critical. This team of cracked systems and infrastructure engineers is flipping that script. They're building the most enjoyable, low-cost, reliable GPU cloud for developers.
    Starting Price: $0.35 per hour
  • 3
    GPUEater

    GPUEater

    GPUEater

    Persistence container technology enables lightweight operation. Pay-per-use in seconds rather than hours or months. Fees will be paid by credit card in the next month. High performance, but low price compared to others. Will be installed in the world's fastest supercomputer by Oak Ridge National Laboratory. Machine learning applications like deep learning, computational fluid dynamics, video encoding, 3D graphics workstation, 3D rendering, VFX, computational finance, seismic analysis, molecular modeling, genomics, and other server-side GPU computation workloads.
    Starting Price: $0.0992 per hour
  • 4
    Lambda

    Lambda

    Lambda.ai

    Lambda provides high-performance supercomputing infrastructure built specifically for training and deploying advanced AI systems at massive scale. Its Superintelligence Cloud integrates high-density power, liquid cooling, and state-of-the-art NVIDIA GPUs to deliver peak performance for demanding AI workloads. Teams can spin up individual GPU instances, deploy production-ready clusters, or operate full superclusters designed for secure, single-tenant use. Lambda’s architecture emphasizes security and reliability with shared-nothing designs, hardware-level isolation, and SOC 2 Type II compliance. Developers gain access to the world’s most advanced GPUs, including NVIDIA GB300 NVL72, HGX B300, HGX B200, and H200 systems. Whether testing prototypes or training frontier-scale models, Lambda offers the compute foundation required for superintelligence-level performance.
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