CUDA GPUs - Compute Capability - NVIDIA Developer
Are you looking for the compute capability for your GPU, then check the tables below.You can learn more about Compute Capability here.. NVIDIA GPUs power millions of desktops, notebooks, workstations and supercomputers around the world, accelerating computationally-intensive tasks for consumers, professionals, scientists, and researchers.
CUDA Zone - Library of Resources - NVIDIA Developer
CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs.
CUDA Toolkit - Free Tools and Training | NVIDIA Developer
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.
CUDA Toolkit 12.6 Update 3 Downloads - NVIDIA Developer
Get the latest feature updates to NVIDIA's compute stack, including compatibility support for NVIDIA Open GPU Kernel Modules and lazy loading support.
About CUDA - NVIDIA Developer
More Than A Programming Model. The CUDA compute platform extends from the 1000s of general purpose compute processors featured in our GPU's compute architecture, parallel computing extensions to many popular languages, powerful drop-in accelerated libraries to turn key applications and cloud based compute appliances. CUDA extends beyond the popular CUDA Toolkit and the CUDA C/C++ programming ...
CUDA Legacy GPUs - NVIDIA Developer
Notes (*) OEM-only products. Frequently Asked Questions 1) How can I find out which GPU is in my computer? Answer: . On Windows computers: Right-click on desktop
CUDA-GDB - NVIDIA Developer
(Click to zoom) CUDA-GDB on Linux > Debug CUDA C and C++ applications directly on the GPU > Simultaneously debug on the CPU and more GPUs > Debug at either high-level C/C++ source or low-level GPU assembly > Use conditional breakpoints to identify and correct errors in CUDA code > Identify memory access violations > Automatically break on every kernel launch > Use the autostep mode to detect ...
Minimum required CUDA version by GPU - NVIDIA Developer …
Dec 22, 2023 · If you know the compute capability of a GPU, you can find the minimum necessary CUDA version by looking at the table here.. The compute capabilities of those GPUs (can be discovered via deviceQuery) are:. H100 - 9.0
How to query device #s of available GPU devices?
Mar 31, 2009 · Hi all, How can I query the available CUDA GPU device numbers in linux environment? That is, knowing the total number of available devices is not enough (cudaGetDeviceCount), I need the CUDA API to tell me the actual available device numbers.
CUDA FAQ - NVIDIA Developer
Sections. General Questions; Hardware and Architecture; Programming Questions; General Questions. Q: What is CUDA? CUDA® is a parallel computing platform and programming model that enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU).