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Title | CuPy: NumPy & SciPy for |
Description | Run NumPy/SciPy code on GPU. Supports NVIDIA CUDA and AMD |
Keywords | N/A |
WebSite | cupy.dev |
Host IP | 172.67.176.82 |
Location | United States |
Site | Rank |
US$19,922,644
Last updated: 2022-06-21 22:11:22
cupy.dev has Semrush global rank of 531,270. cupy.dev has an estimated worth of US$ 19,922,644, based on its estimated Ads revenue. cupy.dev receives approximately 2,298,767 unique visitors each day. Its web server is located in United States, with IP address 172.67.176.82. According to SiteAdvisor, cupy.dev is safe to visit. |
Purchase/Sale Value | US$19,922,644 |
Daily Ads Revenue | US$18,391 |
Monthly Ads Revenue | US$551,704 |
Yearly Ads Revenue | US$6,620,448 |
Daily Unique Visitors | 153,252 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
cupy.dev. | A | 299 | IP: 172.67.176.82 |
cupy.dev. | A | 299 | IP: 104.21.80.79 |
cupy.dev. | AAAA | 299 | IPV6: 2606:4700:3030::6815:504f |
cupy.dev. | AAAA | 299 | IPV6: 2606:4700:3031::ac43:b052 |
cupy.dev. | NS | 86400 | NS Record: max.ns.cloudflare.com. |
cupy.dev. | NS | 86400 | NS Record: reza.ns.cloudflare.com. |
cupy.dev. | TXT | 300 | TXT Record: google-site-verification=zzvU4-GglB7GCmmtMeWEbbM_x-9gTI5k_3cx0ZvE7FE |
Show Menu Hide Menu Features Videos Blog Docs GitHub Twitter Gitter About us --> NumPy/SciPy-compatible Array Library for GPU-accelerated Computing with Python Get Started API Reference GitHub High performance with GPU CuPy is an open-source array library for GPU-accelerated computing with Python. CuPy utilizes CUDA Toolkit libraries including cuBLAS, cuRAND, cuSOLVER, cuSPARSE, cuFFT, cuDNN and NCCL to make full use of the GPU architecture. The figure shows CuPy speedup over NumPy. Most operations perform well on a GPU using CuPy out of the box. CuPy speeds up some operations more than 100X. Read the original benchmark article Single-GPU CuPy Speedups on the RAPIDS AI Medium blog. Highly compatible with NumPy & SciPy CuPy’s interface is highly compatible with NumPy and SciPy; in most cases it can be used as a drop-in replacement. All you need to do is just replace numpy and scipy with cupy and cupyx.scipy in your Python code. The Basics of CuPy tutorial is useful to learn first |
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Domain Name: cupy.dev Registry Domain ID: 42EF47205-DEV Registrar WHOIS Server: whois.google.com Registrar URL: domains.google Updated Date: 2021-08-23T01:00:06Z Creation Date: 2020-07-09T01:00:06Z Registry Expiry Date: 2022-07-09T01:00:06Z Registrar: Google LLC. Registrar IANA ID: 895 Registrar Abuse Contact Email: registrar-abuse@google.com Registrar Abuse Contact Phone: +1.8772376466 Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited Registrant Organization: Contact Privacy Inc. Customer 1247659725 Registrant State/Province: ON Registrant Country: CA Name Server: max.ns.cloudflare.com Name Server: reza.ns.cloudflare.com DNSSEC: unsigned >>> Last update of WHOIS database: 2021-09-12T06:14:54Z <<< |