System Requirements

This section provides a detailed overview of the system and software requirements needed to successfully install and use the Palette software.

CPU, Memory, and Storage

The application requires an x86_64 machine with Admin privileges:

  • A minimum of 4 CPU available cores

  • A minimum of 16 GB of RAM

  • A minimum of 30 GB of local storage

  • [Recommended] SSD storage for faster installations

Verify that your system meets these requirements.

Operating Systems

The Palette software supports the following operating systems:

  • Ubuntu LTS 22.04

  • Windows 10 Pro / 11 Pro

Palette SDK / MLSoC Firmware

Each version of the Palette software is compatible with a specific firmware version on the MLSoC device.

  • Palette SDK: 1.6.0_Palette_SDK_master_B202

  • MLSoC device firmware: 1.6.0_Palette_FW_master_B1658

See Firmware Update in this guide on how to check and update the firmware version. Additionally, for instructions on board setup see Set up DevKit in PCIe Mode and Set up DevKit in Standalone Mode in this guide.

Docker Engine

The Palette software requires the following Docker Engine versions:

  • Ubuntu Docker Engine v20.10.21 or above

  • Windows Docker Engine v23.0.5

Note

You can check your Docker Engine version by running:

sima-user@sima-user-machine:~$ docker --version
Docker version 24.0.6, build ed223bc

You must also add the current user to the Docker group. For more information, please see the Palette installation docker note under: Installing on Linux

Python

The Palette software installer and other tools depend on the following Python versions:

  • Python 3.8.10 or above

Note

You can check your Python version by running:

sima-user@sima-user-machine:~$ python3 --version
Python 3.9.12

Ports

The Palette software makes use of and requires the specified ports to be open and unused:

  • A port within the range 49132–65535 should be utilized. This port is used for visualization functions and is configurable in the Palette install.py script.

Firewall Settings

Ensure that your firewall settings do not block the following:

  • Docker communication with external networks

  • Access to connect to remote devices through SSH using port 22

  • A port within the range 49132–65535 will be dynamically utilized

Note

To manually assign a specific port:

  1. Use your system’s firewall configuration to make sure the specific port is open.

  2. Enter the specific port number to update the variable :code: PORT in the install.py script (line 25).

See example code below where port # 49132 is manually assigned.

PORT = 49132  # update this to any open/allowed port prior to install

SSH Capabilities

Ensure that your system is configured to allow SSH connections for remote management. Verify SSH access by attempting to connect to your localhost:

sima-user@sima-user-machine:~$ which ssh
/usr/bin/ssh
sima-user@sima-user-machine:~$ ssh localhost

If you encounter any issues, review your SSH server configuration.