Top 10 GPU Hosting Providers (February 2023)

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 or hourly model.

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 the upfront costs and ongoing maintenance involved in running their own GPUs.

It’s also a great idea to turn to GPU hosting to get access to the latest GPU and hardware technology, allowing you to take advantage of new developments and updates as they’re 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.

Hostkey is a GPU hosting service provider that offers on-demand access to high-performance computing resources through its data centers. The company offers a range of GPU-powered virtual machines, which can be rented by the hour or by the month, 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 playback, scientific simulations, and machine learning.

Some of Hostkey’s key features include:

  • A wide range of GPU options
  • high performance network
  • scalable infrastructure
  • Demanding workloads like video playback

Linode provides access to high-performance GPUs for a variety of demanding workloads, including video processing, scientific computing, machine learning, AI, and more. Using 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 leasing GPU resources from Linode, companies can transform their CAPEX into OPEX, leveraging 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 all the benefits of the true value proposition of the cloud.

Some of Linode’s key features include:

  • Flexible and scalable
  • GPU Options Range
  • high performance network
  • 24/7 support

Google Cloud provides high-performance GPUs for scientific computing, 3D visualization, machine learning, and more. It helps increase the speed of HPC by offering a wide range of GPUs, which can be tailored to match specific price and performance 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. Plus, you’ll have access to cutting-edge storage, data analytics, and networking solutions.

Some of the main features of Google Cloud include:

  • High performance GPU like NVIDIA K80
  • Flexible pricing options
  • Balanced instances
  • Network access, data analysis and storage

Azure N-series GPU hosting provides high-performance GPU processing for a variety of demanding workloads, including video editing, 3D rendering, and machine learning. Using powerful NVIDIA GPUs, including NVIDIA Tesla and NVIDIA GRID, the Azure N series delivers the performance and capacity needed for demanding visual and parallel computing workloads.

In addition to GPU resources, Azure N Series also provides access to the wide range of Azure cloud services, including storage, networking, and data analytics. This allows organizations to manage their workloads with ease and take advantage of all the 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 cloud services

Paperspace CORE can help you transform your workflow with state-of-the-art computing infrastructure. With its easy-to-use interface, it offers easy integration, collaboration tools, and desktop applications that are compatible with Mac, Linux, and Windows operating systems.

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

Some of the key features of Paperspace CORE include:

  • State-of-the-art IT infrastructure
  • friendly interface
  • easy onboarding
  • Unique and intuitive GUI

Elastic GPU Service (EGS) delivers parallel computing power with the power of GPU technology, making it ideal for a variety of applications such as video processing, visualization, scientific computing, and deep learning. EGS uses 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 speech recognition, HD media encoding, video conferencing, movie repair, and 4K/8K HD live streaming.

Some of Elastic’s key features include:

  • parallel computing power
  • Ideal for applications such as video processing and display.
  • multiple GPUs
  • Online Deep Learning Inference

IBM Cloud offers 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 accelerate performance and deliver fast 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. Additionally, IBM Cloud provides the ability to easily scale up or down GPU resources to meet changing demands.

One of the key benefits of IBM Cloud GPU hosting is the ability to take advantage of IBM’s strong network and security infrastructure, ensuring data and workloads are protected. IBM Cloud GPU hosting options also give clients access to the full range of IBM 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 the IBM Cloud include:

  • Powerful NVIDIA GPUs
  • Variety of GPU instances
  • Easily scale GPU resources
  • Access to the strong IBM network

AWS and NVIDIA have partnered to provide high-performance, customizable, and affordable GPU solutions. This includes Amazon EC2 instances with NVIDIA GPUs and services like AWS IoT Greengrass running 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.

Amazon EC2 P4d instances are powered by NVIDIA A100 Tensor Core GPUs, delivering world-class low-latency networking and high-speed performance. Other instances are also available for specific needs, such as Amazon EC2 P3 and Amazon EC2 G4.

Some of the key features from AWS and NVIDIA include:

  • Affordable and adaptable
  • virtual workstations
  • machine learning

OVHcloud offers cloud servers optimized for large-scale parallel workloads, integrated with NVIDIA Tesla V100 GPUs to support deep learning and machine learning requirements. Their goal is 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 the comprehensive OVHcloud portfolio. 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
  • Parallel workloads at scale
  • Deep learning and machine learning

Genesis Cloud offers a cost-effective and efficient cloud GPU platform, made possible by its partnerships with various data centers around the world. Its services are secure, scalable, reliable, and automated, providing unlimited GPU computing power for a variety 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 host 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 like FastAI, PyTorch, and TensorFlow, and a public API.

Some of the key features of Genesis Cloud include:

  • Profitable and efficient
  • Association with several data centers
  • Secure and scalable
  • Unlimited GPU computing power

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