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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 Amazon EC2 G4 Instances?

Amazon EC2 G4 instances are meticulously engineered to boost the efficiency of machine learning inference and applications that demand superior graphics performance. Users have the option to choose between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad) based on their specific needs. The G4dn instances merge NVIDIA T4 GPUs with custom Intel Cascade Lake CPUs, providing an ideal combination of processing power, memory, and networking capacity. These instances excel in various applications, including the deployment of machine learning models, video transcoding, game streaming, and graphic rendering. Conversely, the G4ad instances, which feature AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, present a cost-effective solution for managing graphics-heavy tasks. Both types of instances take advantage of Amazon Elastic Inference, enabling users to incorporate affordable GPU-enhanced inference acceleration to Amazon EC2, which helps reduce expenses tied to deep learning inference. Available in multiple sizes, these instances are tailored to accommodate varying performance needs and they integrate smoothly with a multitude of AWS services, such as Amazon SageMaker, Amazon ECS, and Amazon EKS. Furthermore, this adaptability positions G4 instances as a highly appealing option for businesses aiming to harness the power of cloud-based machine learning and graphics processing workflows, thereby facilitating innovation and efficiency.

Media

Media

Integrations Supported

Integrations Supported

AMD Radeon ProRender
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
Amazon Web Services (AWS)
CUDA
OpenGL

API Availability

API Availability

Has API

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

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Stackprint

Date Founded

2020

Company Location

Netherlands

Company Website

airgpu.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/ec2/instance-types/g4/

Categories and Features

Cloud GPU

Not specified

Categories and Features

Cloud GPU

Not specified

Deep Learning

Not specified

HPC

Not specified

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