NVIDIA GRID K1上的硬件nvenc编码器数量

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?