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features
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support

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Description

Amazon EC2 G4 instances are specifically designed to enhance the performance of machine learning inference and applications that require high graphics capabilities. Users can select between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad) according to their requirements. The G4dn instances combine NVIDIA T4 GPUs with bespoke Intel Cascade Lake CPUs, ensuring an optimal mix of computational power, memory, and networking bandwidth. These instances are well-suited for tasks such as deploying machine learning models, video transcoding, game streaming, and rendering graphics. On the other hand, G4ad instances, equipped with AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, offer a budget-friendly option for handling graphics-intensive workloads. Both instance types utilize Amazon Elastic Inference, which permits users to add economical GPU-powered inference acceleration to Amazon EC2, thereby lowering costs associated with deep learning inference. They come in a range of sizes tailored to meet diverse performance demands and seamlessly integrate with various AWS services, including Amazon SageMaker, Amazon ECS, and Amazon EKS. Additionally, this versatility makes G4 instances an attractive choice for organizations looking to leverage cloud-based machine learning and graphics processing capabilities.

Description

Hathora is an advanced platform for real-time compute orchestration, specifically crafted to facilitate high-performance and low-latency applications by consolidating CPUs and GPUs across various environments, including cloud, edge, and on-premises infrastructure. It offers universal orchestration capabilities, enabling teams to efficiently manage workloads not only within their own data centers but also across Hathora’s extensive global network, featuring smart load balancing, automatic spill-over, and an impressive built-in uptime guarantee of 99.9%. With edge-compute functionalities, the platform ensures that latency remains under 50 milliseconds globally by directing workloads to the nearest geographical region, while its container-native support allows seamless deployment of Docker-based applications, whether they involve GPU-accelerated inference, gaming servers, or batch computations, without the need for re-architecture. Furthermore, data-sovereignty features empower organizations to enforce regional deployment restrictions and fulfill compliance requirements. The platform is versatile, with applications ranging from real-time inference and global game-server management to build farms and elastic “metal” availability, all of which can be accessed through a unified API and comprehensive global observability dashboards. In addition to these capabilities, Hathora's architecture supports rapid scaling, thereby accommodating an increasing number of workloads as demand grows.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
AMD Radeon ProRender Yes 
Amazon EC2 Yes 
Amazon EKS Yes 
Amazon Elastic Inference Yes 
Amazon SageMaker Yes 
CUDA Yes 
Docker No 
Google Cloud Platform No 
Microsoft Azure No 
OpenGL Yes 

Integrations

Amazon Web Services (AWS) Yes 
AMD Radeon ProRender No 
Amazon EC2 No 
Amazon EKS No 
Amazon Elastic Inference No 
Amazon SageMaker No 
CUDA No 
Docker Yes 
Google Cloud Platform Yes 
Microsoft Azure Yes 
OpenGL No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$4 per month
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

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

Vendor Details

Company Name

Hathora

Founded

2022

Country

United States

Website

hathora.dev/

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

HPC

Product Features

Alternatives

Alternatives