Differences
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| cluster:200 [2021/02/12 19:31] – hmeij07 | cluster:200 [2021/02/18 18:33] (current) – hmeij07 |
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| For CUDA_ARCH (or ''nvcc -arch'') versions check this [[http://arnon.dk/matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards/|Matching CUDA arch and CUDA gencode for various NVIDIA architectures]] web page. "When you compile CUDA code, you should always compile only one ‘-arch‘ flag that matches your most used GPU cards. This will enable faster runtime, because code generation will occur during compilation." //All gpu models RTX2080, RTX5000 and RTX6000 use CUDA_ARCH sm_75// The former model is consumer grade, the latter two models are enterprise grade. See performance differences below. | For CUDA_ARCH (or ''nvcc -arch'') versions check this [[http://arnon.dk/matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards/|Matching CUDA arch and CUDA gencode for various NVIDIA architectures]] web page. "When you compile CUDA code, you should always compile only one ‘-arch‘ flag that matches your most used GPU cards. This will enable faster runtime, because code generation will occur during compilation." //All Turing gpu models RTX2080, RTX5000 and RTX6000 use CUDA_ARCH sm_75// The former model is consumer grade, the latter two models are enterprise grade. See performance differences below. The consumer grade RTX3060Ti is CUDA ARCH sm_86 (Ampere). |
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| * VendorB "RTX 2080 Super are EOL" | * VendorB "RTX 2080 Super are EOL" |
| * VendorA "neigh impossible to obtain any of them" | * VendorA "neigh impossible to obtain any of them" |
| | * Noteworthy re RTX3060Ti |
| | * VendorB "The 3060 Ti does not have the proper cooling for data center use and are not built for that environment" |
| | * VendorA "Lead times on the new GPUs are generally 2 months or more." |
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| ^ VendorB1 ^^ Notes ^ VendorA1 ^^^ VendorA2 ^^^ | ^ VendorB1 ^^ Notes ^ VendorA1 ^^^ VendorA2 ^^^ |
