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In computing, CUDA is a proprietary [2] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.
Model – The marketing name for the processor, assigned by Nvidia. Launch – Date of release for the processor. Code name – The internal engineering codename for the processor (typically designated by an NVXY name and later GXY where X is the series number and Y is the schedule of the project for that generation).
CUDA code runs on both the central processing unit (CPU) and graphics processing unit (GPU). NVCC separates these two parts and sends host code (the part of code which will be run on the CPU) to a C compiler like GNU Compiler Collection (GCC) or Intel C++ Compiler (ICC) or Microsoft Visual C++ Compiler, and sends the device code (the part which will run on the GPU) to the GPU.
For Nvidia, the answer resides in its compute unified device architecture (CUDA), a software platform that layers on top of its GPUs. Although the company's chips can technically run on other ...
Nvidia (NASDAQ: NVDA) ... While not the only GPU maker, the company has been able to create a wide moat through its Compute Unified Device Architecture (CUDA) software platform, which is the ...
Nvidia created the parallel computing platform CUDA to make that happen -- and what followed was an expansion into many areas, including AI. ... So need for not only Nvidia's GPUs but also its AI ...
Nvidia only provides x86/x64 and ARMv7-A versions of their proprietary driver; as a result, features like CUDA are unavailable on other platforms. [175] Some users claim that Nvidia's Linux drivers impose artificial restrictions, like limiting the number of monitors that can be used at the same time, but the company has not commented on these ...
A big reason for this is that Nvidia long ago developed its free (but proprietary) CUDA software platform, which allows developers to program the GPUs they buy for tasks other than graphics rendering.