Developer Experience
Everything you need, nothing you don't.
Deploy in 60 Seconds
Pick a GPU, choose a template or bring your own Docker image, and deploy. No queues, no approvals, no waiting.
Built-in IDE
VS Code Server and Jupyter notebooks running in your browser. Pre-configured with CUDA, PyTorch, and your favorite tools.
Full Root Access
SSH into your instance with full root. Install anything, run anything. Your machine, your rules.
Real-time Monitoring
GPU utilization, memory, temperature, and spend — all live in your dashboard. Stream logs in real time.
Per-minute Billing
Pay only when your instances are running. Stop an instance, stop paying. No minimums, no commitments.
Team Collaboration
Invite your team, set roles and permissions, share projects and billing. Built for teams from day one.
Hardware
Latest NVIDIA
GPUs on tap.
From fine-tuning on a single A100 to distributed training across H200 clusters. Always available, always ready.
View pricing →Developer Tools
Coming SoonBuild with Runcrate, your way.
We're building the tools to let you integrate Runcrate into every part of your workflow — from your terminal to your IDE to your AI agents.
REST API
Programmatic access
Full control over your instances, billing, and deployments through a RESTful API. Create, manage, and destroy instances programmatically.
GET /v1/instances/:id/status
DELETE /v1/instances/:id
Python & Node SDK
Native libraries
Type-safe SDKs for Python and Node.js. Deploy instances, manage billing, and stream logs — all from your application code.
client = Client(api_key="...")
instance = client.deploy("h100")
CLI
Terminal-first
Deploy, SSH, tail logs, and manage instances from your terminal. Designed for developers who live in the command line.
$ runcrate ssh instance-a4f2
$ runcrate logs --follow
MCP Server
AI agent integration
Let your AI agents deploy and manage GPU instances autonomously. Model Context Protocol support for Claude, GPT, and any MCP-compatible agent.
"runcrate": { ... }
}
Ecosystem
Works with
everything.
Pre-configured with the tools and frameworks you already use. No setup, no configuration.
PyTorch
TensorFlow
HuggingFace
CUDA
Docker
Jupyter
VS Code
Git
Python
Node.js
wandb
MLflowEven if it doesn't, we'll make it work together.
Why Runcrate
Built different.
No DevOps tax
Every instance comes with CUDA drivers, security, monitoring, and backups pre-configured. You focus on your model, we handle the infrastructure.
No vendor lock-in
Standard Docker images, SSH access, and open APIs. Move your workloads in or out anytime. Your code runs anywhere.
No surprise bills
Per-minute billing with no egress fees, no data transfer costs, no hidden charges. Set budget limits and auto-stop to stay in control.