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    Home»Machine Learning»Quick Guide to Connecting to a Lambda Labs Instance | by Bing | Mar, 2025
    Machine Learning

    Quick Guide to Connecting to a Lambda Labs Instance | by Bing | Mar, 2025

    Team_AIBS NewsBy Team_AIBS NewsMarch 8, 2025No Comments1 Min Read
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    Now you possibly can strive just a few instructions, similar to checking GPU-related info.

    ubuntu@158-101-120-14:~$ nvidia-smi
    Sat Mar 8 12:23:49 2025
    +-----------------------------------------------------------------------------------------+
    | NVIDIA-SMI 550.127.08 Driver Model: 550.127.08 CUDA Model: 12.4 |
    |-----------------------------------------+------------------------+----------------------+
    | GPU Identify Persistence-M | Bus-Id Disp.A | Unstable Uncorr. ECC |
    | Fan Temp Perf Pwr:Utilization/Cap | Reminiscence-Utilization | GPU-Util Compute M. |
    | | | MIG M. |
    |=========================================+========================+======================|
    | 0 NVIDIA A100-SXM4-40GB On | 00000000:06:00.0 Off | 0 |
    | N/A 33C P0 46W / 400W | 1MiB / 40960MiB | 0% Default |
    | | | Disabled |
    +-----------------------------------------+------------------------+----------------------+

    +-----------------------------------------------------------------------------------------+
    | Processes: |
    | GPU GI CI PID Sort Course of title GPU Reminiscence |
    | ID ID Utilization |
    |=========================================================================================|
    | No working processes discovered |
    +-----------------------------------------------------------------------------------------+

    ubuntu@158-101-120-14:~$ nvidia-smi --query-gpu=title,reminiscence.whole,reminiscence.free,driver_version --format=csv
    title, reminiscence.whole [MiB], reminiscence.free [MiB], driver_version
    NVIDIA A100-SXM4-40GB, 40960 MiB, 40327 MiB, 550.127.08
    ubuntu@158-101-120-14:~$ nvcc --version
    nvcc: NVIDIA (R) Cuda compiler driver
    Copyright (c) 2005-2024 NVIDIA Company
    Constructed on Thu_Mar_28_02:18:24_PDT_2024
    Cuda compilation instruments, launch 12.4, V12.4.131
    Construct cuda_12.4.r12.4/compiler.34097967_0
    ubuntu@158-101-120-14:~$ nvidia-smi | grep "CUDA Model"
    | NVIDIA-SMI 550.127.08 Driver Model: 550.127.08 CUDA Model: 12.4 |
    ubuntu@158-101-120-14:~$ python3 -c "import torch; print(torch.cuda.is_available(), torch.cuda.get_device_name(0))"
    True NVIDIA A100-SXM4-40GB



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