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When I run my computing program through Docker, only one graphics card's video memory is completely occupied, and other graphics cards do not work. How should I use all my graphics cards? Mon Dec 9 10:36:11 2024 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 560.28.03 Driver Version: 560.28.03 CUDA Version: 12.6 | |-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA A10 Off | 00000000:34:00.0 Off | 0 | | 0% 35C P0 55W / 150W | 21731MiB / 23028MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ | 1 NVIDIA A10 Off | 00000000:36:00.0 Off | 0 | | 0% 36C P0 56W / 150W | 237MiB / 23028MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ | 2 NVIDIA A10 Off | 00000000:9B:00.0 Off | 0 | | 0% 37C P0 58W / 150W | 237MiB / 23028MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ | 3 NVIDIA A10 Off | 00000000:9D:00.0 Off | 0 | | 0% 36C P0 56W / 150W | 237MiB / 23028MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | 0 N/A N/A 3006916 C python 21722MiB | | 1 N/A N/A 3006916 C python 228MiB | | 2 N/A N/A 3006916 C python 228MiB | | 3 N/A N/A 3006916 C python 228MiB | +-----------------------------------------------------------------------------------------+
cuda:12.6 cli-version: 1.13.5 lib-version: 1.13.5 build compiler: x86_64-linux-gnu-gcc-7 7.5.0 and I have done this before. #381 (comment)
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When I run my computing program through Docker, only one graphics card's video memory is completely occupied, and other graphics cards do not work. How should I use all my graphics cards?
Mon Dec 9 10:36:11 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 560.28.03 Driver Version: 560.28.03 CUDA Version: 12.6 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA A10 Off | 00000000:34:00.0 Off | 0 |
| 0% 35C P0 55W / 150W | 21731MiB / 23028MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
| 1 NVIDIA A10 Off | 00000000:36:00.0 Off | 0 |
| 0% 36C P0 56W / 150W | 237MiB / 23028MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
| 2 NVIDIA A10 Off | 00000000:9B:00.0 Off | 0 |
| 0% 37C P0 58W / 150W | 237MiB / 23028MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
| 3 NVIDIA A10 Off | 00000000:9D:00.0 Off | 0 |
| 0% 36C P0 56W / 150W | 237MiB / 23028MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 3006916 C python 21722MiB |
| 1 N/A N/A 3006916 C python 228MiB |
| 2 N/A N/A 3006916 C python 228MiB |
| 3 N/A N/A 3006916 C python 228MiB |
+-----------------------------------------------------------------------------------------+
cuda:12.6
cli-version: 1.13.5
lib-version: 1.13.5
build compiler: x86_64-linux-gnu-gcc-7 7.5.0
and I have done this before. #381 (comment)
The text was updated successfully, but these errors were encountered: