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Documentation Index

Fetch the complete documentation index at: https://docs.rightnowai.co/llms.txt

Use this file to discover all available pages before exploring further.

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GPU Emulation

Test your CUDA kernels on any GPU without physical hardware.

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Quick Start

GPU Emulation Panel
1

Open GPU Emulation

Click the GPU Emulation icon in the sidebar (circuit board icon).
2

Choose a GPU

Select the GPU you want to test from the list. Click the checkbox next to it.
3

Run Your Code

Open your .cu file and click the Build button. Your code runs on the selected GPU.

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Available GPUs

The emulator includes all major NVIDIA GPUs:
  • Latest: H100, H200, RTX 4090
  • Data Center: A100, V100
  • Gaming: RTX 3090, RTX 2080 Ti
  • Older: GTX 1080, Tesla K80

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How to Select GPUs

GPU Selection List
  1. Single GPU: Check one box to test on that GPU
  2. Multiple GPUs: Check multiple boxes to compare performance
  3. Search: Type GPU name in search box to find it quickly
  4. Clear: Click “Clear Selection” to deselect all

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What You’ll See

Emulation Active Status
When emulation is active:
  • Status bar shows the selected GPU name
  • “Emulation Active” indicator appears
  • Performance results show estimated metrics

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Tips

Best Uses
  • Test code compatibility on different GPUs
  • Develop without expensive hardware
  • Compare performance across architectures
  • Learn CUDA on any computer
Remember Emulation provides estimates. For production benchmarks, use real hardware.

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Screenshots Needed

  1. GPU Emulation panel open in sidebar
  2. GPU selection with checkboxes
  3. Status bar showing active emulation

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Next Steps