# NVIDIA cuML

> NVIDIA cuML


2020-2026, NVIDIA Corporation

## Pages in this subsection

- [cuml.accel Overview](index.html.md): `cuml.accel` runs supported scikit-learn, UMAP, and HDBSCAN workloads on an
- [Getting Started with cuml.accel](usage/index.html.md): `cuml.accel` intercepts supported scikit-learn, UMAP, and HDBSCAN estimator
- [Accelerated Estimator Support](compatibility/index.html.md): `cuml.accel` accelerates the estimators listed below. Unsupported estimators
- [Logging and Profiling](logging-and-profiling/index.html.md): `cuml.accel` provides logging and profiling support to help you understand
- [Performance and Speedups](benchmarks/index.html.md): Zero-code-change acceleration with `cuml.accel` delivers an
- [Examples](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](examples/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](examples/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](examples/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](examples/third-party-apps/index.html.md): The `CUML_ACCEL_ENABLED` environment variable lets you GPU-accelerate any
- [Exporting cuml.accel Models to ONNX](examples/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](examples/hyperparameter_search/index.html.md): This notebook demonstrates how `cuml.accel` speeds up a hyperparameter search workflow. Having your ...
- [Frequently Asked Questions](faq/index.html.md): `cuml.accel` provides zero-code-change acceleration for scikit-learn and

## Optional

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