CUDA profiling workbench

See what your CUDA code is really doing.

Edit your code, run it on a real NVIDIA GPU, and see the kernels, memory transfers, and timeline behind the result.

Real NVIDIA GPU No local CUDA setup Trace included

Watch the workflow

From CUDA source to a usable profile

Type → Run → Output One short GPU experiment

Start with one project and Trace profiling. Limits vary by plan, and every run stops automatically after its short execution window.

Keep your code, run output, kernel launches, and GPU timeline together.

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Write the code

Open a CUDA project and make the change you want to understand.

Run a short profile

Compile the saved revision and collect Trace data in a managed NVIDIA GPU sandbox.

Explain the behavior

Connect output, launches, transfers, utilization, and timeline evidence in one result.