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NVIDIA GRID K1有4个入门Kepler GPU,但在本主题中http://stackoverflow.com/questio ... r-at-cnvencoder-cpp nvEncoder
应用程序有输出: ... >> GetNumberEncoders()检测到8个支持CUDA的GPU设备 [GPU#0 - 具有Compute SM 3.0,NVENC可用] [GPU#1 - 具有Compute SM 3.0,NVENC可用] [GPU#2 - 具有Compute SM 3.0,NVENC可用] [GPU#3 - 具有Compute SM 3.0,NVENC可用] [GPU#4 - 具有Compute SM 3.0,NVENC可用] [GPU#5 - 具有Compute SM 3.0,NVENC可用] [GPU#6 - 有Compute SM 3.0,NVENC可用] [GPU#7 - 有Compute SM 3.0,NVENC可用] ... NVIDIA GRID K1有多少硬件nvenc编码器项目:8或4? 以上来自于谷歌翻译 以下为原文 NVIDIA GRID K1 has 4 x entry Kepler GPUs, but in this topic http://stackoverflow.com/questio ... r-at-cnvencoder-cpp nvEncoder application has output: ... >> GetNumberEncoders() has detected 8 CUDA capable GPU device(s) << [ GPU #0 - < GRID K1 > has Compute SM 3.0, NVENC Available ] [ GPU #1 - < GRID K1 > has Compute SM 3.0, NVENC Available ] [ GPU #2 - < GRID K1 > has Compute SM 3.0, NVENC Available ] [ GPU #3 - < GRID K1 > has Compute SM 3.0, NVENC Available ] [ GPU #4 - < GRID K1 > has Compute SM 3.0, NVENC Available ] [ GPU #5 - < GRID K1 > has Compute SM 3.0, NVENC Available ] [ GPU #6 - < GRID K1 > has Compute SM 3.0, NVENC Available ] [ GPU #7 - < GRID K1 > has Compute SM 3.0, NVENC Available ] ... How many hardware nvenc encoders items NVIDIA GRID K1 has: 8 or 4? |
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该主机中将有2张卡,因此总共有8张GPU。
以上来自于谷歌翻译 以下为原文 There would be 2 cards in that host, so a total of 8 GPU's. |
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