NVIDIA CUDA Toolkit 12.4.1

The NVIDIA CUDA Toolkit is a software development kit created by NVIDIA Corporation for developers who want to harness the power of GPUs for their applications. The toolkit includes a compiler, libraries, and tools for accelerating scientific simulations, video and image processing, machine learning, and more.

The NVIDIA CUDA Toolkit supports C, C++, and Fortran programming languages, as well as APIs such as cuBLAS, cuFFT, and cuRAND for fast linear algebra, fast Fourier transforms, and random number generation, respectively. Developers can also use their preferred third-party libraries and frameworks with the toolkit.

• Compatible with NVIDIA GPUs
• Supports Linux, Windows, and macOS operating systems
• Includes samples and documentation to help users get started
• Provides performance analysis tools for optimizing GPU usage

Whether a user is looking to accelerate an existing application or create a new one from scratch, the NVIDIA CUDA Toolkit provides the necessary tools to take advantage of GPU acceleration.

Note that in order to use the CUDA Toolkit, a compatible NVIDIA GPU is required. For more information on system requirements and getting started with the toolkit, refer to NVIDIA's documentation.