GPU系列|nvidia-smi命令
2018-11-22 本文已影响0人
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查询显存使用情况和总量
$ nvidia-smi --query-gpu=index,memory.used,memory.total --format=csv
index, memory.used [MiB], memory.total [MiB]
0, 10956 MiB, 11441 MiB
1, 0 MiB, 11441 MiB
$nvidia-smi --query-gpu=index,memory.used,memory.total --format=csv,noheader,nounits
0, 10956, 11441
1, 0, 11441
To list certain details about each GPU, try:
$ nvidia-smi --query-gpu=index,name,uuid,serial --format=csv
0, Tesla K40m, GPU-d0e093a0-c3b3-f458-5a55-6eb69fxxxxxx, 0323913xxxxxx
1, Tesla K40m, GPU-d105b085-7239-3871-43ef-975ecaxxxxxx, 0324214xxxxxx
Query the VBIOS version of each device:
$ nvidia-smi --query-gpu=gpu_name,gpu_bus_id,vbios_version --format=csv
name, pci.bus_id, vbios_version
GRID K2, 0000:87:00.0, 80.04.D4.00.07
GRID K2, 0000:88:00.0, 80.04.D4.00.08
Query Description
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$ nvidia-smi --query-gpu=timestamp,name,pci.bus_id,driver_version,pstate,pcie.link.gen.max,
pcie.link.gen.current,temperature.gpu,utilization.gpu,utilization.memory,
memory.total,memory.free,memory.used --format=csv -l 5
When adding additional parameters to a query, ensure that no spaces are added between the queries options.
Query Description
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You can get a complete list of the query arguments by issuing: nvidia-smi --help-query-gpu
