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Remote GPU Execution

Connect to remote GPUs on cloud providers or your own servers.

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Quick Start

Remote GPU Connection Dialog
1

Connect to Remote GPU

Press Ctrl+Shift+G or click “Remote GPU: Connect” in command palette.
2

Choose Connection Type

Select one:
  • Quick Connect: Paste your SSH command
  • RunPod/Vast.ai/Lambda: Select your provider
  • Manual Setup: Enter server details
3

Enter Connection Info

Provide your SSH details:
  • Host/IP address
  • Username
  • SSH key or password
4

Start Using Remote GPU

Once connected, your code runs on the remote GPU automatically.

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Supported Cloud Providers

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RunPod

  • Copy SSH command from RunPod dashboard
  • Paste in Quick Connect
  • RightNow handles the rest

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Vast.ai

  • Get instance SSH details
  • Use Quick Connect or Manual Setup
  • Supports custom ports

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Lambda Labs

  • Use instance IP address
  • Username: ubuntu
  • Add your SSH key

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Paperspace

  • Get SSH endpoint from console
  • Username: paperspace
  • Connect via Manual Setup

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How to Use

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Open Remote Terminal

SSH Terminal Remote
Press Ctrl+Shift+T to open SSH terminal to your remote GPU.

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Run CUDA Code

  1. Open your .cu file
  2. Click Build button
  3. Code compiles and runs on remote GPU

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Switch GPUs

Click GPU name in status bar to switch between local and remote.

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Connection Status

Remote GPU Status Bar
Look at the status bar:
  • Connected: Shows remote GPU name
  • Disconnected: Shows local GPU
  • Connecting: Shows progress

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Tips

Best Practices
  • Use SSH keys instead of passwords
  • Save connections for quick access
  • Check GPU availability with terminal
  • Monitor GPU usage in status bar
Troubleshooting
  • Can’t connect? Check firewall and SSH settings
  • GPU not detected? Run nvidia-smi in terminal
  • Slow connection? Check network speed

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Screenshots Needed

  1. Connection dialog with provider options
  2. Remote GPU shown in status bar
  3. SSH terminal to remote GPU

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Next Steps