10 Best GPU Hosting Providers (June 2025)

Graphics processing unit (GPU) hosting is the use of powerful GPUs in a data center or cloud environment to provide on-demand access to high-performance computing resources. The hosting provider manages the infrastructure, including the GPUs, and provides access to these resources through the cloud, allowing users to rent computing power through a subscription-based model or by the hour.

GPU hosting is used when there are demanding workloads, such as scientific simulations, video rendering, and machine learning. These workloads require the processing power that GPUs provide, and by using GPU hosting, businesses and individuals can avoid upfront costs and ongoing maintenance involved with operating their own GPUs.

It’s also a great idea to turn to GPU hosting to gain access to the latest GPUs and hardware technology, which allows you to take advantage of new developments and upgrades as they are released. All of this can be done without investing in new hardware each time.

There are many great GPU hosting options on the market, and here is our list of some of the best.

1. RunPod

RunPod is a versatile cloud platform designed for AI development, fine-tuning, and deployment, offering a globally distributed GPU infrastructure. With instant setup for popular frameworks like PyTorch and TensorFlow, users can deploy GPU pods in seconds, eliminating the need for lengthy initialization times. RunPod supports a range of workloads, from small-scale inference to large-scale training, with flexible pricing options that include cost-effective GPUs like NVIDIA A100s and high-performance H100s.

Its serverless architecture ensures dynamic autoscaling to handle fluctuating demands, with cold starts reduced to under 250 milliseconds. Users only pay for the resources they actively use, making it both cost-efficient and scalable. RunPod also provides real-time analytics, detailed logs, and advanced monitoring tools, offering full transparency over execution times, GPU utilization, and request handling.

With a secure and reliable infrastructure spanning nine global regions, RunPod ensures high availability and automated failover to prevent downtime. By removing operational overhead, it allows researchers, startups, and enterprises to focus entirely on building and optimizing machine learning models while benefiting from powerful and efficient cloud GPU solutions.

• Globally distributed GPUs with instant setup for frameworks like PyTorch and TensorFlow.
• Flexible pricing for cost-effective GPUs like NVIDIA A100s and high-performance H100s.
• Serverless architecture with dynamic autoscaling, <250ms cold starts, and pay-as-you-go pricing.
• Real-time analytics and logs for full visibility into performance and resource usage.
• Secure infrastructure across nine regions with high availability and automated failover.

Visit RunPod →

2. Liquid Web

Liquid Web provides powerful GPU hosting solutions for data-intensive applications like AI, machine learning, and high-performance computing. Their offerings include NVIDIA GPUs such as the L4 Ada, L40S Ada, and H100 NVL, paired with AMD EPYC CPUs and fast NVMe storage. These servers are optimized for AI/ML tasks, supporting popular frameworks like TensorFlow and PyTorch, and come with pre-configured tools like NVIDIA CUDA and Docker for easy deployment.

Their GPU hosting caters to industries like healthcare, big data, cloud gaming, and scientific research, providing scalable infrastructure for demanding workloads. Liquid Web also ensures robust security with DDoS protection, dedicated IPs, and compliance with industry standards like PCI and HIPAA.

With expert support and remote management options, Liquid Web offers flexible, reliable GPU hosting designed to meet the needs of businesses handling complex, high-performance tasks.

• High-performance NVIDIA GPUs (L4 Ada, L40S Ada, H100 NVL) and AMD EPYC CPUs.
• Supports frameworks like TensorFlow and PyTorch with pre-configured tools such as NVIDIA CUDA and Docker.
• Ideal for healthcare, big data, cloud gaming, and scientific research requiring scalable, high-performance infrastructure.
• Provides strong security with DDoS protection, dedicated IPs, and compliance with PCI, SOC, and HIPAA standards.
• Includes expert support and remote management tools, giving users full control over server configurations and operations.

Visit Liquid Web →

3. Hostkey

Hostkey is a GPU hosting service provider that offers on-demand access to high-performance computing resources through their data centers. The company provides a range of GPU-powered virtual machines, which can be rented on an hourly or monthly basis, allowing users to scale their resources as needed. Their clients are typically businesses and organizations that require high-performance computing capabilities for their work, such as machine learning and scientific research.

Hostkey's GPU hosting services are designed to meet the needs of businesses and individuals who require the processing power of GPUs for demanding workloads such as video rendering, scientific simulations, and machine learning.

Some of the key features of Hostkey include:

• A wide range of GPU options
• High-performance network
• Scalable infrastructure
• Demanding workloads like video rendering

Visit Host Key →

4. Google Cloud

Google Cloud provides high-performance GPUs for scientific computing, 3D visualization, machine learning and more. It helps to increase the speed of HPC by offering a wide range of GPUs, which can be tailored to match specific performance and price points. With flexible pricing and machine customization options, you can minimize the effort required for your workload.

Google Cloud offers a variety of GPUs, including NVIDIA K80, P4, V100, A100, T4, and P100, and each instance is optimized to balance memory, processing power, high-performance disk, and up to 8 GPUs for maximum efficiency. Additionally, you will have access to cutting-edge networking, data analytics, and storage solutions.

Some of the main features of Google Cloud include:

• High-performance GPUs like NVIDIA K80
• Flexible pricing options
• Balanced instances
• Access to networking, data analytics, and storage

5. Azure

Azure N Series GPU hosting provides high-performance GPU computing for a range of demanding workloads, including video editing, 3D rendering, and machine learning. Utilizing powerful NVIDIA GPUs, including the NVIDIA Tesla and NVIDIA GRID, Azure N Series offers the performance and capability required for demanding visual and parallel computing workloads.

In addition to the GPU resources, Azure N Series also provides access to Azure's extensive range of cloud services, including storage, networking, and data analytics. This allows organizations to handle their workloads with ease and take advantage of the full benefits of the cloud.

Some of the key features of Azure include:

• High-performance GPU computing for demanding workloads
• Powerful NVIDIA GPUs
• Access to Azure’s cloud services

6. Paperspace CORE

Paperspace CORE can help you transform the workflow with cutting-edge computer infrastructure. With its user-friendly interface, it offers simple onboarding, collaboration tools, and desktop apps compatible with Mac, Linux, and Windows operating systems.

CORE features a lightning-fast network, instant provisioning, 3D app support, and a full API for programmatic access. Stay organized and in control with its single, intuitive GUI that provides a complete view of your infrastructure. CORE's management interface includes powerful tools, allowing you to filter, sort, connect, or create machines, networks, and users with ease.

Some of the key features of Paperspace CORE include:

• Cutting-edge computer infrastructure
• User-friendly interface
• Simple onboardining
• Single, intuitive GUI

7. Elastic GPU Service

The Elastic GPU Service (EGS) offers parallel computing power with the power of GPU technology, making it ideal for various applications such as video processing, visualization, scientific computing, and deep learning. EGS utilizes various GPUs including NVIDIA Tesla M40, NVIDIA Tesla V100, NVIDIA Tesla P4, NVIDIA Tesla P100, and AMD FirePro S7150.

Take advantage of benefits such as online deep learning inference and training services, content identification, image and voice recognition, HD media coding, video conferencing, film repair, and 4K/8K HD live streaming.

Some of the key features of Elastic include:

• Parallel computing power
• Ideal for applications like video processing and visualization
• Various GPUs
• Online deep learning inference

8. IBM Cloud

IBM Cloud provides GPU hosting options for organizations to run complex and demanding workloads, such as artificial intelligence, machine learning, and scientific computing. IBM Cloud offers access to powerful NVIDIA GPUs to help speed up performance and deliver quick results.

With IBM Cloud, users can choose from a variety of GPU instances, including options with up to 8 GPUs, providing ample computing power to handle even the most demanding tasks. In addition, IBM Cloud provides the ability to easily scale GPU resources up or down to meet changing demands.

One of the key benefits of IBM Cloud's GPU hosting is the ability to leverage IBM's robust network and security infrastructure, ensuring that data and workloads are protected. IBM Cloud's GPU hosting options also provide customers with access to IBM's full range of cloud services, such as IBM Watson and IBM Cloud Object Storage, to further enhance the capabilities of their GPU instances.

Some of the key features of IBM Cloud include:

• Powerful NVIDIA GPUs
• Variety of GPU instances
• Easily scale GPU resources
• Access to IBM’s robust network

9. AWS and NVIDIA

AWS and NVIDIA have formed a partnership to provide affordable, adaptable, and high-performance GPU solutions. This includes Amazon EC2 instances powered by NVIDIA GPUs and services like AWS IoT Greengrass that run on NVIDIA Jetson Nano modules.

Users turn to AWS and NVIDIA for virtual workstations, machine learning, IoT services, and high-performance computing. Amazon EC2 instances powered by NVIDIA GPUs provide scalable performance. Additionally, AWS IoT Greengrass extends AWS cloud services to NVIDIA-based edge devices.

The Amazon EC2 P4d instances are powered by NVIDIA A100 Tensor Core GPUs, delivering top-notch low-latency networking and high-speed throughput. There are also other instances available for specific needs, such as Amazon EC2 P3 and Amazon EC2 G4.

Some of the key features of AWS and NVIDIA include:

• Affordable and adaptable
• Virtual workstations
• Machine learning

10. OVHCloud

OVHcloud offers cloud servers optimized for large-scale parallel workloads, integrated with NVIDIA Tesla V100 GPUs to support deep learning and machine learning requirements. They aim to provide the best GPU-accelerated platform for HPC, AI, and DL through a partnership with NVIDIA.

Deploying and managing GPU-accelerated containers is easy with OVHcloud's comprehensive catalog. It directly delivers up to four graphics cards to instances via PCI Passthrough, providing maximum performance without any virtualization layer.

Some of the key features of OVHCloud include:

• Optimized cloud servers
• Large-scale parallel workloads
• Deep learning and machine learning

Bonus: Linode

Linode provides access to high-performance GPUs for a range of demanding workloads, including video processing, scientific computing, machine learning, AI, and more. Utilizing NVIDIA Quadro RTX 6000, Tensor RT cores, and CUDA technology, Linode's GPU-optimized virtual machines are designed to efficiently handle complex parallel processing tasks, such as ray tracing and deep learning.

By renting GPU resources from Linode, businesses can transform their capital expenses into operating expenses, taking advantage of the cost-effectiveness and scalability of the cloud. This allows organizations to focus on their core competencies, without the added burden of managing hardware. With Linode's GPU hosting services, users can enjoy the full benefits of the cloud's real value proposition.

Some of the key features of Linode include:

• Flexible and scalable
• Range of GPU options
• High-performance network
• 24/7 support

Summary

GPU hosting provides businesses and individuals access to powerful, high-performance computing resources without the need for significant upfront investments in hardware. It’s an ideal solution for workloads requiring intensive processing, such as AI, machine learning, scientific simulations, and video rendering.

By utilizing cloud-based GPU hosting, users can benefit from the latest GPU technology and scale their resources as needed, all while avoiding the complexities of hardware management and maintenance. This flexibility makes GPU hosting an essential tool for staying ahead in data-driven industries.