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10 Best GPU Hosting Providers (April 2024)

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GPU Hosting

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. 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

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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

10. Genesis Cloud

Genesis Cloud offers a cost-effective and efficient cloud GPU platform, made possible through their partnerships with various data centers around the world. Their services are secure, scalable, reliable, and automated, providing unlimited GPU computing power for a range of applications such as visual effects, machine learning, transcoding, Big Data analysis, and more.

One of the many benefits of Genesis Cloud is the availability of a wealth of free features, including snapshots for saving work, security groups for network traffic management, storage volumes for large data sets, preconfigured images for popular deep learning frameworks such as FastAI, PyTorch, and TensorFlow, and a public API.

Some of the key features of Genesis Cloud include:

  • Cost-effective and efficient
  • Partnership with various data centers
  • Secure and scalable
  • Unlimited GPU computing power

Alex McFarland is an AI journalist and writer exploring the latest developments in artificial intelligence. He has collaborated with numerous AI startups and publications worldwide.