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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

Runcrate offers AI teams and their agents a unified account to access GPUs and inference capabilities seamlessly. Users can rent various GPU models, including H100, H200, A100, L40S, RTX 4090, and RTX PRO 6000, with over 20 options available, for hourly use, featuring SSH, Jupyter, and VS Code directly in their browsers. A launch can be initiated in approximately four minutes, and users are only charged for running time, with most GPUs billing by the second. In terms of inference, clients can access more than 200 open models, such as DeepSeek, Qwen, Llama, Kimi, FLUX, and Whisper, through a single OpenAI-compatible API, ensuring compatibility with existing clients. Pricing is structured based on usage metrics like tokens, images, or seconds, while storage volumes allow for the retention of datasets and checkpoints across different instances. Reserved clusters can support over eight GPUs or provide month-long service options. Designed specifically for agents, users can connect tools like Claude Code, Codex, or Cursor to the Runcrate MCP server using a single command and sign in via their browser without needing to input any keys. Once connected, agents can easily launch a GPU, execute commands, and shut it down when finished. Additionally, the platform provides a command-line interface, which can be installed with a simple command, along with SDKs available for both Python and TypeScript to enhance development flexibility.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

AMD Radeon ProRender Yes 
Amazon EC2 Yes 
Amazon EKS Yes 
Amazon Elastic Inference Yes 
Amazon SageMaker Yes 
Amazon Web Services (AWS) Yes 
CUDA Yes 
ChatGPT No 
Claude No 
Claude Code No 
Cursor No 
Model Context Protocol (MCP) No 
OpenAI Codex No 
OpenGL Yes 
Visual Studio Code No 

Integrations

AMD Radeon ProRender No 
Amazon EC2 No 
Amazon EKS No 
Amazon Elastic Inference No 
Amazon SageMaker No 
Amazon Web Services (AWS) No 
CUDA No 
ChatGPT Yes 
Claude Yes 
Claude Code Yes 
Cursor Yes 
Model Context Protocol (MCP) Yes 
OpenAI Codex Yes 
OpenGL No 
Visual Studio Code Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.65/hour
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 No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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) No 
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

Aeonmind LLC

Founded

2025

Website

www.runcrate.ai/

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