# NVIDIA cuML

> NVIDIA cuML


2020-2026, NVIDIA Corporation

## Pages in this subsection

- [Examples](index.html.md): Here we provide a few examples of using `cuml.accel`. The code for the
- [Zero Code Change Acceleration: Getting Started with cuml.accel](getting_started/index.html.md): The cuml.accel accelerator mode allows you to bring GPU-accelerated computing to existing machine le...
- [Performance Profiling and Debugging with cuml.accel](profiling/index.html.md): This notebook demonstrates how to use the profiling capabilities in `cuml.accel` to understand which...
- [K-Means Clustering: scikit-learn to GPU with Zero Code Changes](plot_kmeans_digits/index.html.md): *cuml.accel is a new tool in cuML which allows you to accelerate* scikit-learn *estimators on NVIDIA...
- [Accelerating Third-Party Applications](third-party-apps/index.html.md): The `CUML_ACCEL_ENABLED` environment variable lets you GPU-accelerate any
- [Exporting cuml.accel Models to ONNX](onnx_export/index.html.md): Models trained under `cuml.accel` can be exported to the ONNX format using sklearn-onnx. Because `cu...
- [Hyperparameter Search with RandomizedSearchCV](hyperparameter_search/index.html.md): This notebook demonstrates how `cuml.accel` speeds up a hyperparameter search workflow. Having your ...

## Optional

- [Top-level llms.txt](../../llms.txt): Complete documentation index.