A browser-based IDE for practicing GPU kernel development with serverless execution on Modal.com. Write CUDA, Triton, CUTLASS, and CUTE DSL code and run it on cloud GPUs - pay only for actual execution time.
- Monaco Editor - VS Code-like editing experience with syntax highlighting and autocompletion
- Multiple Languages - CUDA C++, Triton (Python), CUTLASS C++, CUTE DSL (Python), Mojo
- GPU Selection - Choose from T4, L4, A10, A100, L40S, H100, H200, B200
- Configurable Timeout - Set execution limits (5-300 seconds)
- Serverless Execution - No idle charges, pay only for kernel runtime
- Self-Hostable - Bring your own Modal API key
- VSCode Extension - Use KernelIDE directly within Visual Studio Code
npm installFirst, install the Modal CLI and authenticate:
pip install modal
modal setup # This will open browser for authenticationafter you do modal setup go to this link and create a new token by going to Create proxy auth tokens :
Then deploy the executor to your Modal account:
modal deploy modal_executor.pyAfter you run above command you'll see someting like this for the first time.
After deployment, you'll see your endpoint URL:
https://<your-workspace>--kernelide-executor-api.modal.run
npm run devOpen http://localhost:5173 in your browser, and you will see the KernelIDE like this.
- Click Settings in the top-right
- Enter your Modal API credentials
- Click Deploy Executoir and paste your deployed endpoint URL it should look like this
https://<your-workspace>--kernelide-executor-api.modal.runto confirm the connection. after you do this, the screen should look like this in below image.
4.Click on save settings and close the settings popup.
- Select a language from the dropdown (CUDA, Triton, CUTLASS, CUTE DSL, Mojo)
- Write your kernel code in the editor
- Choose your GPU and timeout in Settings
- Click Run or press
Cmd/Ctrl + Enter - View output and execution time in the right panel
The KernelIDE VSCode extension provides the same GPU kernel development experience directly in your editor.
Installation:
Download and install the pre-built extension:
# Download the extension
curl -L -o kernelide.vsix https://github.com/Tanmaypatil123/KernelIDE/releases/download/vscode-extension-v1/kernelide-0.1.0.vsix
# Install the extension
code --install-extension kernelide-0.1.0.vsixAfter installation, restart VS Code and follow the setup instructions in the VSCode Extension README for complete installation and usage details.
| Language | File Type | Description |
|---|---|---|
| CUDA C++ | .cu |
Native CUDA kernels with nvcc |
| Triton | .py |
OpenAI Triton GPU kernels |
| CUTLASS C++ | .cu |
NVIDIA CUTLASS templates |
| CUTE DSL | .py |
nvidia-cutlass-dsl Python package |
| Mojo | .mojo |
Modular's Mojo language |
| GPU | VRAM | Approx. Price |
|---|---|---|
| T4 | 16 GB | ~$0.76/hr |
| L4 | 24 GB | ~$0.80/hr |
| A10 | 24 GB | ~$1.10/hr |
| A100-40GB | 40 GB | ~$2.10/hr |
| A100-80GB | 80 GB | ~$2.50/hr |
| L40S | 48 GB | ~$1.70/hr |
| H100 | 80 GB | ~$3.95/hr |
| H200 | 141 GB | ~$4.50/hr |
| B200 | 192 GB | ~$5.50/hr |
Prices are approximate and per-second billing applies.
# Install dependencies
npm install
# Start dev server
npm run dev
# Build for production
npm run build
# Preview production build
npm run preview- Fork/clone this repository
- Deploy
modal_executor.pyto your Modal account - Build the frontend:
npm run build - Serve the
dist/folder with any static hosting (Vercel, Netlify, GitHub Pages, etc.) - Users configure their own Modal API keys in Settings
MIT
Contributions welcome! Please open an issue or PR.