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Average Ratings 0 Ratings
Description
GPU.ai is a cloud service designed specifically for GPU infrastructure aimed at artificial intelligence tasks. The platform provides two primary offerings: the GPU Instance, which allows users to initiate compute instances equipped with the latest NVIDIA GPUs for various functions such as training, fine-tuning, and inference, and a model inference service where users can upload their pre-trained models, with GPU.ai managing the deployment process. Among the available hardware options are the H200s and A100s, catering to different performance requirements. Additionally, GPU.ai accommodates custom requests through its sales team, ensuring quick responses—typically within about 15 minutes—for those with specific GPU or workflow needs, making it a versatile choice for developers and researchers alike. This flexibility enhances user experience by enabling tailored solutions that align with individual project demands.
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
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
ChatGPT
No
Claude
No
Claude Code
No
Cursor
No
DEEPMOTION
Yes
Model Context Protocol (MCP)
No
OpenAI Codex
No
Supermicro MicroCloud
Yes
Visual Studio Code
No
Integrations
ChatGPT
Yes
Claude
Yes
Claude Code
Yes
Cursor
Yes
DEEPMOTION
No
Model Context Protocol (MCP)
Yes
OpenAI Codex
Yes
Supermicro MicroCloud
No
Visual Studio Code
Yes
Pricing Details
$2.29 per hour
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
No
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
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
GPU.ai
Country
United States
Website
gpu.ai/
Vendor Details
Company Name
Aeonmind LLC
Founded
2025
Website
www.runcrate.ai/