Difference between revisions of "Nvidia Management Library (NVML)"
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[[wikipedia:NVML]] | [[wikipedia:NVML]] | ||
| − | pip install py3nvml | + | [[pip install py3nvml]] |
| + | == Errors == | ||
| + | Failed to initialize NVML: Driver/library version mismatch | ||
| + | NVML library version: 550.54 | ||
== Related terms == | == Related terms == | ||
* <code>[[glances]]</code> | * <code>[[glances]]</code> | ||
* <code>[[gpustat]]</code> | * <code>[[gpustat]]</code> | ||
| − | * pip install [[nvidia-ml-py3]] | + | * <code>pip install [[nvidia-ml-py3]]</code> |
* [[NVLink]] | * [[NVLink]] | ||
== See also == | == See also == | ||
| + | * {{gpustat}} | ||
| + | * {{nvidia tools}} | ||
* {{GPU}} | * {{GPU}} | ||
| + | * {{Nvidia}} | ||
| + | |||
| + | [[Category:Nvidia]] | ||
Latest revision as of 14:30, 27 May 2024
pip install py3nvml
Errors[edit]
Failed to initialize NVML: Driver/library version mismatch NVML library version: 550.54
Related terms[edit]
glancesgpustatpip install nvidia-ml-py3- NVLink
See also[edit]
- gpustat, NVML
- Nvidia tools: CUDA, NVIDIA Data Center GPU Manager (DCGM),
nvcc, Nvidia Management Library (NVML),nvidia-smi, nvidia-device-plugin, CUDA Time-Slicing - GPU, eGPU, OpenCL, ROCm, Nvidia, CUDA, Nvidia Tesla, AMD, RTX,
gpustat, Teraflop, Ethash, Pytorch, Pascal GPU, TBDR, A100, H100, TRIP, AMD Instinct MI100, AMD Radeon, LPU, TFLOP - Nvidia, GPU, Nvidia tools,
nvidia-smi, CUDA, Nvidia Drive, Tegra, EVGA Corporation, A10, A100, H100, T4, L4, K80,gpustat, Nvidia Xavier, NVML, TOPS, Nvidia broadcast, Mellanox, Jensen Huang, NVIDIA driver, Nvidia RTX, Tensor Cores, Nvidia DGX, Nvidia Omniverse Cloud, Drive Thor, Ada, Hopper, NVIDIA device plugin for Kubernetes, NVIDIA DCGM, NVIDIA GPU Operator, Megatron-Core, NVLM, NVIDIA GPU Boost, NVSwitch, NVIDIA Driver R450+
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