Learn what's new in the CUDA Toolkit, including the latest and greatest features in the CUDA language, compiler, libraries, and tools—and get a sneak peek at what's coming up over the next year.

CUDA Toolkit 13.5.0 Downloads Select Target Platform Click on the green buttons that describe your target platform. Only supported platforms will be shown. By downloading and using the software, you agree to fully comply with the terms and conditions of the CUDA EULA.

The CUDA platform is accessible to software developers through CUDA-accelerated libraries, compiler directives such as OpenACC, and extensions to industry-standard programming languages including C, C++, Fortran and Python.

CUDA kütüphanesi, geliştiricilerin CUDA özellikli GPU'lar üzerindeki hafızalara ve Stream Processorlara hükmedebilmesini sağlar. İlk CUDA Geliştirici seti (SDK) 15 Şubat 2007'de yayınlandı.

The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. With the CUDA Toolkit, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms and HPC supercomputers.

CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU).

How to install CUDA CUDA installation instructions are in the "Release notes for CUDA SDK" under both Windows and Linux. CUDA can be downloaded from CUDA Zone: http://www.nvidia.com/cuda Follow the link titled "Get CUDA", which leads to http://www.nvidia.com/object/cuda_get.html

Find installation instructions, launch highlights, programming guides, compiler documentation, API references, CUDA libraries, profiling tools, samples, and release notes for the CUDA Toolkit.

CUDA Çekirdekleri, en basit tabirle NVIDIA GPU’larda bulunan paralel işlem birimleridir. Bu çekirdekler, hesaplamalar yaparak ve görevleri CPU ile paralel olarak yürüterek GPU’ların render uygulamaları ile birlikte işlemeye katkıda bulunmasını sağlar.

CUDA (Compute Unified Device Architecture) is a parallel computing and programming model developed by NVIDIA, which extends C++ to enable general-purpose computing on GPUs.