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https://developer.nvidia.com/cuda-gpus
Recommended GPU for Developers NVIDIA TITAN RTX NVIDIA TITAN RTX is built for data science, AI research, content creation and general GPU development. Built on the Turing architecture, it features 4608, 576 full-speed mixed precision Tensor Cores for accelerating AI, and 72 RT cores for accelerating ray tracing. It also includes 24 GB of GPU memory for training neural networks with large batch ...
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https://www.geforce.com/hardware/technology/cuda/supported-gpus?field_gpu_type_value=All&page=3
Make your entire PC experience faster with the new NVIDIA® GeForce® GT 720 dedicated graphics card. Enjoy performance that’s superior to integrated graphics in all your PC multimedia applications, including 2x faster web browsing, 5x faster video editing, and 8x faster photo editing.
https://en.wikipedia.org/wiki/CUDA
CUDA-powered GPUs also support programming frameworks such as OpenACC and OpenCL; and HIP by compiling such code to CUDA. When CUDA was first introduced by Nvidia, the name was an acronym for Compute Unified Device Architecture, [5] but Nvidia subsequently dropped the common use of …
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https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html
Support heterogeneous computation where applications use both the CPU and GPU. Serial portions of applications are run on the CPU, and parallel portions are offloaded to the GPU. As such, CUDA can be incrementally applied to existing applications.
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