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CUDA is NVIDIA's platform for accelerated computing, providing the software layer that enables applications to harness the power of GPUs. Developers can program in languages such as C++, Python, and Fortran or leverage GPU-accelerated libraries and frameworks like PyTorch. This flexibility lets developers integrate GPU computing into any layer of their software stack to achieve optimal functionality and performance.The CUDA Toolkit, an integral component of the CUDA platform, provides the compiler, libraries, and developer tools required to develop GPU applications.
NVIDIA CUDALearn about the CUDA ecosystem that helps developers solve real-world challenges.
NVIDIA CUDA…pip install nvidia-nvcomp-cu13 cupy-cuda13x # CUDA 12.x (Hopper): pip install nvidia-nvcomp-cu12 cupy-cuda12x import torch import cupy as cp from nvidia import nvcomp codec = nvcomp.Codec(algorithm…
…Downloads Download DriveOS SDK, NVIDIA's reference operating system and associated software stack, including NVIDIA DriveWorks, CUDA, cuDNN and TensorRT. Setup Unbox and setup your hardware, then configure your environment with NVIDIA…
…DRIVE AGX is powered by the NVIDIA DriveOS ™ SDK featuring DriveWorks , CUDA®, TensorRT™, NvMedia, and NvStreams. This full-stack platform accelerates the development of scalable, reliable AI-powered vehicle applications.
…We have also developed a real-time API built on NVIDIA CUDA-Q QEC , CUDAQ-Realtime , and NVIDIA NVQLink , designed to deliver the low latency needed for quantum computing. We have shown…
…With NVIDIA Warp, Python developers can create accelerated, differentiable simulation workflows that drive ML pipelines in PyTorch, JAX, NVIDIA PhysicsNeMo , and NVIDIA Omniverse ™. Benefits include simulation performance on par with native CUDA…
…The same open source Python libraries and NVIDIA platforms are available for any researcher or developer to adopt in their own workflows. XANI, CUDA Python, cuPyNumeric, and CuPy demonstrate a generational leap…
…Several of the tools are also packaged inside toolkits and SDKs like the CUDA Toolkit, HPC SDK, and NVIDIA JetPack™ SDK. For specific components in each package, check the release notes. Sometimes…
…To learn more, see Boost GPU Memory Performance with No Code Changes Using NVIDIA CUDA MPS . Discuss (0) Discuss (0) Tags Agentic AI / Generative AI | Data Center / Cloud | Simulation / Modeling / Design | General…
…It is part of the CUDA-X collection of highly optimized, domain-specific libraries built on CUDA®. Documentation NVIDIA Aerial Resource Center (ARC-OTA) NVIDIA Product NVIDIA AI Aerial™ is a suite…
NVIDIA cuEST NVIDIA CUDA® Electronic Structure Theory (cuEST, currently in beta) is a CUDA-X™ library designed to accelerate first-principles quantum chemistry applications on NVIDIA GPUs. Purpose‑built for industrial‑scale…