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It is an open-source matrix library accelerated with NVIDIA CUDA. CuPy provides GPU accelerated computing with Python. It uses CUDA-related libraries including cuBLAS, cuDNN, cuRand, cuSolver, cuSPARSE, cuFFT and NCCL to make full use of the GPU architecture.
75
companies
CuPy is used in 8 countries
Technology Usage Statistics and Market Share
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
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Technology
is any of
CuPy
Company | Country | Industry | Employees | Revenue | Technologies |
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United States | Medical Equipment Manufacturing | 56 |
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United States | Medical Equipment Manufacturing | 21 | $2.4M | ![]() CuPy | |
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Germany | Government Administration | 201 |
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Mining |
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Primary And Secondary Education |
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United States | Software Development | 399 | $1M | ![]() CuPy | |
Hospitality |
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Software Development |
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We have data on 75 companies that use CuPy. Our CuPy customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.