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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
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NVIDIA CUDA 13.3 Rolls Out CUDA Python 1.0, CUDA Tile For C++ Written by Michael Larabel in NVIDIA on 27 May 2026 at 04:22 PM EDT. Add A Comment NVIDIA on Tuesday released CUDA 13.3 as another significant advancement for their unified GPU programming stack for NVIDIA hardware. …
… At the moment, this module is under the experimental namespace and may have API changes that don’t follow semantic versioning. from numba import cuda from cuda.coop. experimental import block, warp THREADS = 128 block sum = coop.block.make sum numba.int32, THREADS @cuda.jit link=block sum.files def… …
NVIDIA CUDA Tile NVIDIA® CUDA® Tile is a tile-based GPU programming model that targets portability for NVIDIA Tensor Cores. CUDA Tile unlocks peak GPU performance with a programming model that simplifies the creation of optimized, tile-based kernels across NVIDIA platforms. …
NVIDIA CUDA-Q CUDA-Q™ is NVIDIA’s open platform for quantum computing and the foundation for accelerated quantum supercomputing . pip install cudaq How CUDA-Q Works CUDA-Q is an open-source quantum development platform for running powerful, large-scale quantum computing applications. …
NVIDIA releases CUDA-Oxide 0.1 for experimental Rust-to-CUDA compiler
NVIDIA releases CUDA-Oxide 0.1 for experimental Rust-to-CUDA compiler
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NVIDIA RTX Spark reinvents Windows PCs for the era of personal AI agents, offering a new class of computer that moves from tool to teammate. Designed for AI, creating and gaming, RTX Spark brings together 30 years of NVI…
I'm a big fan of on-device AI inference for a million reasons, especially its potential to significantly reduce or even potentially eliminate the need for massive AI data center projects in the United States. But so far,…
… CUDA-X Libraries NVIDIA CUDA-X™, built on CUDA, is a collection of libraries that deliver dramatically higher performance across application domains, including AI and HPC. CUDA Fundamentals What Is CUDA? …
… CUDA Tile C++ 벡터 덧셈 예제 SIMT용 CUDA C++에 익숙한 개발자라면 표준적인 벡터 덧셈 커널을 접해 봤을 것입니다. 데이터가 이미 GPU에 있다고 가정하면, CUDA SIMT의 벡터 덧셈 커널은 두 벡터를 받아 요소별로 더해 세 번째 벡터를 만듭니다. 작성하기 가장 간단한 CUDA 커널 가운데 하나로, 그 모습은 다음과 같습니다. global void vecAdd float A, float B, float C, int vectorLength { / calculate my thread index / int wor… …
NVIDIA CUDA Profiling Tools Interface CUPTI - CUDA Toolkit 13.1 The NVIDIA CUDA Profiling Tools Interface CUPTI is a library that enables the creation of profiling and tracing tools that target CUDA applications. …
… Users who are already writing GPU code in Julia with CUDA.jl will find the transition to tile-based programming straightforward. Getting started Just like cuTile Python, cuTile.jl requires an NVIDIA Ada, NVIDIA Ampere or NVIDIA Blackwell GPU and an NVIDIA driver for CUDA 13.1 or higher. …