Runcrate
On-demand GPUs and inference for AI teams and the agents they run. A GPU with a real shell in about four minutes, or open models through one OpenAI-compatible API.
Company Facts
About Runcrate
Runcrate gives AI teams and their agents GPUs and inference from one account.
Instances: rent a GPU by the hour (H100, H200, A100, L40S, RTX 4090, RTX PRO 6000 and more, 20+ models) with SSH, Jupyter and VS Code in the browser. A launch reaches running in about four minutes, booting is never billed, and most GPUs bill by the second.
Inference: 200+ open models (DeepSeek, Qwen, Llama, Kimi, FLUX, Whisper) behind one OpenAI-compatible API, so the client you already use works. Priced per token, image or second.
Storage volumes keep datasets and checkpoints between instances, and reserved clusters cover 8+ GPUs or month-long terms.
Built for agents: connect Claude Code, Codex or Cursor to the Runcrate MCP server with one command and sign in through your browser, no key to paste. Your agent can then launch a GPU, run commands on it and shut it down. Also a CLI (brew install aeonmindai/tap/runcrate) and Python and TypeScript SDKs.
What is Runcrate?
Runcrate is a cloud-based platform that provides on-demand GPUs and inference capabilities for AI teams and their agents. It allows users to quickly launch GPU instances and access various AI models through an OpenAI-compatible API.
What does Runcrate do?
Runcrate offers on-demand GPU services and AI inference for various applications, enabling users to train, serve, and manage AI models efficiently. Users can launch GPU instances in about four minutes and pay only for the time the GPU is running.
What problem does Runcrate solve?
Runcrate addresses the need for fast and flexible access to GPU resources for AI workloads. It eliminates the long wait times typically associated with launching GPU instances and allows users to pay only for the compute time they actually use.
Who is Runcrate for?
Runcrate is designed for AI teams, developers, and organizations that require scalable GPU resources for training and inference of machine learning models. It caters to users who need quick access to powerful computing resources without upfront commitments.
What industry is Runcrate in?
Runcrate operates within the cloud computing and artificial intelligence industries, providing essential infrastructure for AI development and deployment.
Where is Runcrate based?
The specific location of Runcrate's headquarters is not provided in the available content.
When was Runcrate founded?
The founding date of Runcrate is not mentioned in the available content.
Who founded Runcrate?
The information regarding the founder(s) of Runcrate is not provided in the available content.
What is Runcrate best known for?
Runcrate is best known for its rapid deployment of GPU instances and its pay-per-use model for AI inference, allowing users to efficiently manage their AI workloads without incurring unnecessary costs.
Why was Runcrate created?
Runcrate was created to provide a streamlined solution for AI teams needing quick access to GPU resources and to simplify the process of deploying and managing AI models in the cloud.
Where AI Leaders Stay Informed
The latest AI intelligence, case studies, and research — delivered to your inbox every week.
Free to read. Unsubscribe anytime.
Is this your company?
Claim this profile to manage information and unlock premium features.