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Ubuntu - GPU Nosana Node

About 4 min

Ubuntu - GPU Nosana Node

Greetings! This is your comprehensive guide to setting up the Nosana Node on an Ubuntu system. Whether you are a seasoned developer or new to the Linux world, this easy-to-follow tutorial will assist you in getting your Nosana Node operational on your Ubuntu setup. Let's dive in and start the process.

  1. Install Docker
  2. Install NVIDIA drivers and container toolkit
  3. Run the Nosana Node and register for Test Grid

Make sure you have Ubuntu version 20.04 or higher. You can check your Ubuntu version with:

lsb_release -a

Docker

Before proceeding with the installation and configuration of Docker, it is important to ensure that the appropriate privileges have been assigned. To do so, please refer to the following links for detailed instructions on properly installing and configuring Docker:

By following these steps, you will be able to run the Nosana Node without the need for root privileges.

NVIDIA

To fully utilize the GPU on the grid, we will need to install both the NVIDIA drivers and NVIDIA's CUDA Toolkit.

NVIDIA Driver Installation Guide

Follow these steps to install the NVIDIA drivers on your system:

  1. Visit the official NVIDIA website or the link provided (https://www.linuxbabe.com/ubuntu/install-nvidia-driver-ubuntuopen in new window) to download the correct driver.
  2. Once the download is complete, run the installer and follow the instructions provided.
  3. After installation, check that the correct driver is installed by using the command nvidia-smi in the terminal.
  4. If the command displays the correct driver information, the installation was successful. If not, try reinstalling the driver or seeking further assistance.

Example output:

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.54       Driver Version: 526.56       CUDA Version: 12.0     |
|-------------------------------+----------------------+----------------------+
| 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 GeForce ...  On   | 00000000:01:00.0 Off |                  N/A |
| N/A   43C    P5     9W /  N/A |      0MiB /  4096MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

Guide to Install NVIDIA Container Toolkit

To install the NVIDIA Container Toolkitopen in new window (nvidia-ctk), run the following commands:

curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
  && curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
    sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
    sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list \
  && \
    sudo apt-get update

Then we can install the NVIDIA Container Toolkit package:

sudo apt-get install -y nvidia-container-toolkit

Configuring the NVIDIA Container Toolkit on Linux

As we aim to run Podman within Docker, adhere to the Docker configuration instructions detailed here: Configuring Dockeropen in new window.

Execute the following commands in your terminal:

sudo nvidia-ctk runtime configure --runtime=docker

Subsequently, restart Docker with:

sudo systemctl restart docker

Nosana Test Grid Script

With just a single command in your command line, you can easily set up a Nosana Node on your machine. Simply run the following command:

bash <(wget -qO- https://nosana.io/register.sh)

Please note that this script has certain requirements and is specifically designed to run without the need for sudo privileges. It's crucial to exercise caution when running any script from the internet with sudo privileges. Even in this case, it's advisable to thoroughly review the script before executing it on your system. You can review the script here: https://nosana.io/register.shopen in new window

The script performs a series of tests to verify the successful completion of the previous steps outlined in the guide.

You will see your node's information displayed in the following format.

  _   _                             
 | \ | | ___  ___  __ _ _ __   __ _ 
 |  \| |/ _ \/ __|/ _` | '_ \ / _` |
 | |\  | (_) \__ \ (_| | | | | (_| |      
 |_| \_|\___/|___/\__,_|_| |_|\__,_|
                                    
Reading keypair from ~/.nosana/nosana_key.json

Network:	    mainnet
Wallet:		    <NODE_ADDRESS>
SOL balance:	0E-9 SOL
NOS balance:	0 NOS
Provider:	    podman

Test Grid Registration Instructions

When running the script it'll ask for some information: email, Discord & Twitter/X handle (optional). After filling in the information and agreeing to the terms & conditions, a benchmark will start. In this benchmark we will check the hardware of your node.

If the benchmark succeeds, you should see the following output:

Benchmark finished
================================
Thank you for registering for Nosana Node. 
We'll review your registration and you will get an email from us if you are selected.

Congratulations! 🎉 You have completed the registration. If you are selected for Test Grid you will receive an email with more information.

Warning

To find your Node's Solana key, navigate to ~/.nosana/nosana_key.json. It is essential to back up this file to ensure its safety.

Optional: Run Podman in Docker

If you're running Ubuntu natively, you can use Docker to initiate your Podman instance. The register.sh script accomplishes this in the final step, making this a non-mandatory step:

    docker run -d \
      --pull=always \
      --gpus=all \
      --name podman \
      --device /dev/fuse \
      --privileged \
      -e ENABLE_GPU=true \
      -p 8080:8080 \
      nosana/podman podman system service --time 0 tcp:0.0.0.0:8080

To confirm GPU support within Podman containers, execute:

docker exec -it podman bash
podman run --rm --device nvidia.com/gpu=all --security-opt=label=disable ubuntu nvidia-smi -L

If unsuccessful, ensure NVIDIA drivers and the nvidia-ctk are installedopen in new window and configuredopen in new window

If you see Error: container create failed (no logs from conmon)... when running the command, follow the steps here to resolve issue
To validate Podman's proper functioning, use:

curl http://localhost:8080/v4.5.0/libpod/info

Launching the Nosana Node with Custom Parameters

You can manually launch the Nosana Node to modify certain parameters:

  • Use the --podman parameter to direct to your Podman service if it's running elsewhere.
  • Use --volume to map your solana key to /root/.nosana/nosana_key.json within the Docker container if you wish to use your own key.
docker run \
      --pull=always \
      --network host  \
      --interactive \
      --volume ~/.config/solana/id.json:/root/.nosana/nosana_key.json \
      nosana/nosana-node \
         --podman http://localhost:8080  \
         join-test-grid

Troubleshoot

If you have questions or when you have error messages, please take a look at our Troubleshoot Guide or join our Discordopen in new window for help.

Last update:
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