DMS (Device Management Service)
Last updated
NuNet Public Alpha on Testnet (Deprecated)
Last updated
A device management service or DMS is a program that helps users run various computational services, including machine learning (ML) jobs, on a compute provider machine, based on an NTX token request system on NuNet. In simple terms, it connects users who want to perform computational tasks to powerful CPU/GPU enabled computers that can handle these tasks. The purpose of the DMS is to connect users on NuNet, allow them to run any service (not only ML jobs) and be rewarded for it.
The NTX token is a digital cryptographic asset available on the Cardano and Ethereum blockchain as a smart contract. However, for the current use case of running machine learning jobs, only the Cardano blockchain is being used. Users request and allocate resources for computational jobs through a Service Provider Dashboard. Compute providers receive the NTX tokens based on the jobs through a Compute Provider Dashboard.
Please note that the dashboards are not components of NuNet's core architecture. Both these components have been developed to perform the current use case that is to run ML jobs on compute providers machines.
Here's a step-by-step explanation:
Users have computational services they want to run. These services often require a lot of computing power, which may not be available on their personal devices.
Compute provider machines are powerful computers designed to handle resource-intensive tasks like machine learning jobs.
The device management service acts as a bridge, connecting users with these compute provider machines.
Users specify resources and job requirements through a webapp interface, and request access to the compute provider machines by sending mNTX tokens. mNTX acts as a digital ticket, granting users access to the resources they need.
The device management service receives the job request after verifying the authenticity of the mNTX transaction through an Oracle.
Once received, the DMS allocates the necessary resources on the compute provider machine to run the user's job.
The user's job is executed on the provider's machine, and the results are sent back to the user.
In summary, a device management service simplifies the process of running machine learning jobs on powerful computers. Users can easily request access to these resources with NTX tokens, allowing them to complete their tasks efficiently and effectively.
Before going through the installation process, let's take a quick look at the system requirements and other things to keep in mind.
When using a VM or WSL, using Ubuntu 20.04 is highly recommended.
ML on GPU jobs on VMs are not supported
Install WSL through the Windows Store.
Install Ubuntu 20.04 through WSL
ML Jobs begun on Linux cannot be resumed on WSL
Make sure virtualization is enabled in the system BIOS
Though it is possible to run ML jobs on Windows machines with WSL, using Ubuntu 20.04 natively is highly recommended. The reason being our development is completely based around the Linux operating system. Also, the system requirements when using WSL would increase by at least around 25%.
If you are using a dual boot machine, make sure you use the wsl --shutdown command before shutting down Windows and running Linux for ML jobs. Also, ensure your Windows machine is not in a hibernated state when you reboot into Linux.
We only require for you to specify CPU (MHz x no. of cores) and RAM but your system must meet at least the following set of requirements before you decide to onboard it:
CPU - 2 GHz
RAM - 4 GB
Free Disk Space - 10 GB
Internet Download/Upload Speed - 4 Mbps / 0.5 MBps
If the above CPU has 4 cores, your available CPU would be around 8000 MHz. So if you want to onboard half your CPU and RAM on NuNet, you can specify 4000 MHz CPU and 2000 MB RAM.
CPU - 3.5 GHz
RAM - 8-16 GB
Free Disk Space - 20 GB
Internet Download/Upload Speed - 10 Mbps / 1.25 MBps
CPU - 3 GHz
RAM - 8 GB
NVIDIA GPU - 4 GB VRAM
Free Disk Space - 50 GB
Internet Download/Upload Speed - 50 Mbps
CPU - 4 GHz
RAM - 16-32 GB
NVIDIA GPU - 8-12 GB VRAM
Free Disk Space - 100 GB
Internet Download/Upload Speed - 100 Mbps
Here's a step by step process to install the device management service (DMS) on a compute provider machine:
Download the DMS package:
Download the latest version with this command: (note please use the second option for now until we fix the auto linked latest version)
Install DMS:
DMS has some dependencies, but they'll be installed automatically during the installation process.
Open a terminal and navigate to the directory where you downloaded the DMS package (skip this step if you used the wget command above). Install the DMS with this command:
If the installation fails, try these commands instead:
If you see a "Permission denied" error, don't worry, it's just a notice. Proceed to the next step.
Check if DMS is running: Look for "/usr/bin/nunet-dms" in the output of this command:
Uninstall DMS (if needed):
To remove DMS, use this command:
To download and install a new DMS package, repeat steps 1 and 2.
Completely remove DMS (if needed):
To fully uninstall and stop DMS, use either of these commands:
or
Update DMS:
To update the DMS to the latest version, follow these steps in the given sequence:
a. Uninstall the current DMS (Step 3)
b. Download the latest DMS package (Step 1)
c. Install the new DMS package (Step 2)
Skip doing an for the new Ubuntu VM as it might not add the user with administrative privileges.
Enable when installing the VM (VirtualBox only).
Always before booting the VM.
if on VirtualBox (recommended)
if on VMware (recommended)
Install the (Windows 10 only)
Enable
If it's not running, with the error messages. Here are the .