NVIDIA CUDA Toolkit NVIDIA Corporation
winget install --id=Nvidia.CUDA -e The NVIDIA® CUDA® Toolkit provides a development environment for creating high-performance, GPU-accelerated applications. With it, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms, and supercomputers. The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime library.
The NVIDIA CUDA Toolkit is a comprehensive development environment for creating high-performance applications accelerated by graphics processing units (GPUs). Designed to harness the power of parallel computing, the toolkit enables developers to optimize and deploy GPU-accelerated solutions across embedded systems, workstations, data centers, cloud platforms, and supercomputers.
Key Features:
- Multi-GPU Scaling: Built-in capabilities for distributing computations across multiple GPUs, enabling applications to scale from single-GPU setups to large-scale installations with thousands of GPUs.
- Support for NVIDIA Architectures: Latest support for the Hopper and Ada Lovelace architectures, offering advancements in Tensor Cores, Multi-Instance GPU (MIG), memory management, and high-speed NVLink connectivity.
- Performance-Oriented Libraries: A suite of GPU-accelerated libraries optimized for tasks in AI, data science, and scientific computing.
- Developer Tools: Advanced profiling, debugging, and optimization tools to streamline application development and performance tuning.
Audience & Benefit: Ideal for developers, researchers, and engineers requiring high-performance computing for applications in fields such as artificial intelligence, scientific simulations, data analysis, and computer graphics. The toolkit provides the necessary tools to accelerate computational workloads, reduce processing times, and achieve significant performance improvements compared to CPU-only solutions.
The NVIDIA CUDA Toolkit can be installed via winget, ensuring seamless integration into development workflows.