Put Your GPUs To The Test

GPUs are the new oil, and in today’s world of GPU scarcity, maximizing your GPU utilization for model training can mean the difference between leading innovation and falling behind in the competitive AI landscape. 

According to a report from Wandb, nearly a third of GPUs are under 15% utilization. Low GPU utilization effectively increases your total costs. If you level up your GPU utilization from 40% to 80%, your cost of AI/ML training will be reduced by 50%. 

We’ve put together this simple tutorial for all users who have Nvidia GPUs, to find out your GPU utilization with a few clicks. Just follow the below steps, and let us know how you compare!

Question 1: What is your GPU utilization rate?

If your GPU utilization rate is below 80%, talk to us at Alluxio! Our team of expert engineers can help you to uncover the causes behind the low GPU utilization, and work with you to improve it. The latest release of Alluxio Enterprise AI 3.2 can achieve 97% plus GPU utilization for model training.

Question 2: Do you know your GPU utilization?

If you don’t know your GPU utilization rate, here is the instruction of Nvidia-SMI (Nvidia System Management Interface) for your team to find out, which is almost a one-click tool. 

Here are the steps to install Nvidia-SMI on your system:

1. Ensure you have an Nvidia GPU: Nvidia-SMI is a command-line tool that is used to interact with and monitor Nvidia GPUs. Make sure your system has an Nvidia graphics card installed.

2. Install the Nvidia GPU drivers: Before you can use Nvidia-SMI, you need to install the Nvidia GPU drivers on your system. You can download the latest Nvidia drivers from the official Nvidia website: https://www.nvidia.com/download/index.aspx

3. Install Nvidia-SMI: Nvidia-SMI is typically installed as part of the Nvidia driver package. Once you have installed the Nvidia drivers, Nvidia-SMI should be available on your system.

4. Verify the installation: You can verify the installation by opening a terminal (command prompt) and running the following command: nvidia-smi

This should display information about your Nvidia GPU, such as the GPU model, memory usage, temperature, and power consumption.

5. Explore Nvidia-SMI features: Nvidia-SMI provides a wide range of features and commands to monitor and manage your Nvidia GPUs. You can explore the available options by running the following command: nvidia-smi --help

This will display a list of all the available Nvidia-SMI commands and their descriptions.

Some common Nvidia-SMI commands include:

  • nvidia-smi: Display the current status of all Nvidia GPUs
  • nvidia-smi dmon: Display real-time GPU metrics
  • nvidia-smi -q: Display detailed information about the Nvidia GPUs
  • nvidia-smi -c [clock_speed]: Set the GPU clock speed
  • nvidia-smi -pl [power_limit]: Set the GPU power limit

Remember to refer to the Nvidia-SMI documentation for more detailed information on the available commands and their usage.

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