NVIDIA CUDA-X libraries

The NVIDIA GB200 and GH200 superchips fuel the NVIDIA CUDA-X libraries, which help scientists and engineers solve complicated problems faster

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Benefit from CUDA-X's tighter automatic integration and coordination between CPU and GPU resources with these latest superchip architectures

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CUDA from NVIDIA accelerated many applications in 2006. At NVIDIA, over 900 domain-specific CUDA-X libraries and AI models boost compute and science

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NVIDIA Grace CPU architecture increases memory bandwidth and power efficiency

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NVIDIA's superchip architectures boost GPU performance by better using CPU and GPU processing resources

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Grace GPU memory and the high-bandwidth NVLink-C2C interface allow cuDSS to factorize and solve large matrices that wouldn't fit in device memory

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GB200 and GH200 architectures' NVLink-CNC interconnects allow CPU and GPU memory coherency, scaling memory-limited workloads on a single GPU

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Many scientific and industrial disciplines face basic hurdles that quantum computers can speed up

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State vector simulations of quantum algorithms need matrix operations on exponentially large vector objects kept in memory

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