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.
30
companies
Technology
is any of
CuPy
Country
is any of
United States
| Company | Country | Industry | Employees | Revenue | Technologies |
|---|---|---|---|---|---|
 United States | Medical Equipment Manufacturing | 61 | CuPy | ||
United States | Computer Hardware Manufacturing | 45k | $27B | CuPy | |
United States | Medical Equipment Manufacturing | 21 | $2.4M | CuPy | |
United States | Technology, Information and Internet | 93 | CuPy | ||
United States | Medical Equipment Manufacturing | 21 | CuPy | ||
United States | IT Services and IT Consulting | 4.9k | $300M | CuPy | |
United States | IT Services and IT Consulting | 508 | CuPy | ||
United States | Higher Education | 12k | CuPy | ||
United States | Non-profit Organizations | 501 | CuPy | ||
United States | Telecommunications | 53k | $44B | CuPy |
Download list of 30 companies using CuPy in United States. This curated 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.
CuPy is used in 195 countries
There are 32k alternatives to CuPy
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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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