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What is Hathora?

Hathora is a cutting-edge platform designed for orchestrating real-time computing, specifically aimed at enhancing the performance and reducing latency for applications by integrating CPUs and GPUs across diverse environments, such as cloud, edge, and on-site infrastructure. It provides comprehensive orchestration features that allow teams to effectively oversee workloads not just in their own data centers, but also across Hathora’s vast worldwide network, which includes intelligent load balancing, automatic spill-over, and a remarkable built-in uptime guarantee of 99.9%. The platform’s edge-compute capabilities maintain latency below 50 milliseconds globally by routing workloads to the closest geographical locations, and its support for containers enables effortless deployment of Docker-based applications—be it for GPU-accelerated inference, gaming servers, or batch processing—without requiring any architectural changes. Additionally, the platform includes data-sovereignty features that enable organizations to impose regional deployment restrictions and meet compliance mandates. With a wide range of applications, such as real-time inference and global game server management, build farms, and elastic “metal” availability, all can be accessed via a unified API and thorough global observability dashboards. Moreover, Hathora is engineered for rapid scaling, thus allowing it to handle a growing number of workloads in response to increasing demand, making it an indispensable tool for modern computing needs. This scalability is crucial for organizations looking to adapt swiftly to changing market conditions and expanding operational requirements.

What is GPU.ai?

GPU.ai is a specialized cloud service that focuses on providing GPU infrastructure tailored for artificial intelligence applications. It features two main services: the GPU Instance, which enables users to launch computing instances with cutting-edge NVIDIA GPUs for tasks like training, fine-tuning, and inference, and a model inference service that allows users to upload their pre-trained models while GPU.ai handles the deployment. Users can select from various hardware options including H200s and A100s, which are designed to meet different performance needs. Furthermore, GPU.ai's sales team is available to address custom requests promptly, usually within approximately 15 minutes, catering to users with unique GPU or workflow requirements. This adaptability not only makes GPU.ai a versatile option for developers and researchers but also significantly improves the user experience by providing customized solutions that fit specific project needs. Such features ensure that individuals can efficiently leverage the platform to achieve their AI objectives with ease.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
DEEPMOTION
Docker
Google Cloud Platform
Microsoft Azure
Supermicro MicroCloud

Integrations Supported

Amazon Web Services (AWS)
DEEPMOTION
Docker
Google Cloud Platform
Microsoft Azure
Supermicro MicroCloud

API Availability

Has API

API Availability

Has API

Pricing Information

$4 per month
Free Trial Offered?
Free Version

Pricing Information

$2.29 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Hathora

Date Founded

2022

Company Location

United States

Company Website

hathora.dev/

Company Facts

Organization Name

GPU.ai

Company Location

United States

Company Website

gpu.ai/

Categories and Features

Categories and Features

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