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What is airgpu?

Airgpu provides cloud-based computing solutions that leverage powerful GPUs for demanding graphic tasks, including gaming. By choosing their preferred hardware specifications and data center location, users can easily set up a cloud PC and connect through platforms like Parsec or Moonlight. In contrast to traditional game-streaming services that come with a fixed library, this platform empowers users to install any games or software they desire, including titles available on Steam and the Epic Games Launcher. It serves a wide range of purposes such as gaming, 3D rendering, video editing, virtual reality experiences, and other demanding projects that benefit from a high-performance graphics card. Users are billed according to their usage, with costs deducted from their account credit, and there is an additional charge for SSD storage. The selection of hardware options varies depending on the specific GPU and the user's geographic location. Furthermore, it's crucial to recognize that certain multiplayer games may face compatibility challenges due to anti-cheat systems that restrict access from cloud-based PCs. Airgpu is ideal for gamers, creative professionals, and anyone looking for the advantages of GPU-accelerated computing remotely, eliminating the need for a physical device. This service not only provides powerful processing capabilities but also brings flexibility and convenience to users needing access to advanced technology while on the move. The potential for cloud computing like Airgpu is vast, opening avenues for innovation and collaboration across various fields.

What is GPUonCLOUD?

Previously, completing tasks like deep learning, 3D modeling, simulations, distributed analytics, and molecular modeling could take days or even weeks. However, with GPUonCLOUD's specialized GPU servers, these tasks can now be finished in just a few hours. Users have the option to select from a variety of pre-configured systems or ready-to-use instances that come equipped with GPUs compatible with popular deep learning frameworks such as TensorFlow, PyTorch, MXNet, and TensorRT, as well as libraries like OpenCV for real-time computer vision, all of which enhance the AI/ML model-building process. Among the broad range of GPUs offered, some servers excel particularly in handling graphics-intensive applications and multiplayer gaming experiences. Moreover, the introduction of instant jumpstart frameworks significantly accelerates the AI/ML environment's speed and adaptability while ensuring comprehensive management of the entire lifecycle. This remarkable progression not only enhances workflow efficiency but also allows users to push the boundaries of innovation more rapidly than ever before. As a result, both beginners and seasoned professionals can harness the power of advanced technology to achieve their goals with remarkable ease.

Media

Media

Integrations Supported

Integrations Supported

MXNet
PyTorch
TensorFlow

API Availability

API Availability

Pricing Information

$0.65/hour
Pay-as-you-go charges are billed hourly based on the selected GPU configuration. SSD storage is charged separately by disk size, and credit is prepaid. Prices exclude VAT.

Pricing Information

$1 per hour

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Stackprint

Date Founded

2020

Company Location

Netherlands

Company Website

airgpu.com

Company Facts

Organization Name

GPUonCLOUD

Company Location

India

Company Website

gpuoncloud.com/gpu-as-a-service/

Categories and Features

Cloud GPU

Not specified

Categories and Features

AI Cloud Providers

Not specified

AI Infrastructure

Not specified

Cloud GPU

Not specified

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