premio RCO-6000-CML AI Edge Inference Computer For Intel 10th Gen CPU Owner’s Manual
- July 20, 2024
- premio
Table of Contents
premio RCO-6000-CML AI Edge Inference Computer For Intel 10th Gen CPU
Specifications
- Product Model: RCO-6000-CML
- Processor Socket: LGA 1200 for Intel 10th Gen CPU
- Chipset: W480E PCH
Product Information
The RCO-6000-CML AI Edge Inference Computer is designed for AI edge computing applications. It supports Intel 10th Gen CPUs and features the W480E PCH chipset for enhanced performance.
To view the datasheet of the RCO-6000-CML, click here.
- AWS IoT Greengrass supports both Windows and Linux. Refer to the operating system support matrix here. Follow the developer guide for tools and setup instructions here.
- Refer to the device user’s manual for hardware setup instructions.
- Install the AWS CLI on your host machine by following the instructions here. Configure the CLI as per the instructions provided here.
- Follow the online guide for installation with automatic provisioning. Provide AWS credentials to the device and download/install the AWS IoT Greengrass Core software. Details can be found in the guide.
- Create, deploy, test, update, and manage a simple component on your device by following the instructions provided in the guide You can also upload the component to the cloud using the instructions found here.
- Follow the online instructions to deploy your component and verify its functionality.
FAQ
- Q: Where can I find troubleshooting tips for AWS IoT Greengrass?
- A: For general troubleshooting tips, refer to this link. For device-specific issues, contact techsupport@premioinc.com.
Document Information
- Version Date Description
- 1.0 February 2024 Publish Document
Overview
Introduction
The RCO-6000-CML Series AI Edge Inference Computer incorporates advanced
performance with Intel’s 10th Generation Core processors, an advanced GPU
accelerator, and expandable, hot-swappable NVMe SSDs with its modular
EDGEBoost Nodes. As processing power shifts away from resources in the cloud,
deployments in remote and mobile environments require ruggedized systems that
can withstand exposure to environmental factors such as dust, debris, shock,
vibration, and extreme temperatures. Premio’s AI Edge Inference Computers are
tested and validated to ensure reliable performance amid deployments in the
harshest environmental settings.
About AWS IoT Greengrass
- To learn more about AWS IoT Greengrass, see how it works and what’s new.
Hardware Description
DataSheet
- Click on this link https://premio.blob.core.windows.net/premio/uploads/resource/datasheet/RCO-6000-CML/DS_RCO-6000-CML_Premio.pdf to view the datasheet of RCO-6000- CML.
Additional Hardware References
- Please refer to the RCO-6000-CML device page for more product details
User-Provided Items
- Not applicable.
3rd Party Purchasable Items
- Not applicable.
Set up your Development Environment
- AWS IoT Greengrass supports both Windows and Linux: https://docs.aws.amazon.com/greengrass/v2/developerguide/operating-system-featuresupport-matrix.html.
- Please refer to the developer guide for the required tools and proper setup: https://docs.aws.amazon.com/greengrass/v2/developerguide/what-is-iotgreengrass.html.
It is recommended to install the following tools/SDKs:
-
Java Runtime Environment (JRE) version 8 or greater
-
Java Development Kit (JDK) Amazon Corretto 11
(https://aws.amazon.com/corretto/) or OpenJDK 11 (https://openjdk.java.net/) -
GNU C Library (https://www.gnu.org/software/libc/); (glibc) version 2.25 or greater
Set up your Hardware
- Please refer to the device user’s manual for the hardware setup.
Setup your AWS account and Permissions
- Refer to the online AWS documentation at Set up your AWS Account: https://docs.aws.amazon.com/iot/latest/developerguide/setting-up.html.
Follow the steps outlined below to create your account and user to get started:
- Sign up for an AWS account:
- https://docs.aws.amazon.com/iot/latest/developerguide/setting-up.html#aws-registration
- Create a user and grant it the proper permissions: https://docs.aws.amazon.com/iot/latest/developerguide/setting-up.html#create-iam-user
- Open the AWS IoT console: https://docs.aws.amazon.com/iot/latest/developerguide/setting-up.html#iot-consolesignin
Create Resources in AWS IoT
- Refer to the instructions on how to create AWS IoT resource: https://docs.aws.amazon.com/iot/latest/developerguide/create-iot-resources.html
Follow the steps outlined in these sections to provision resources for your device:
- Create an AWS IoT Policy
- Create a thing object
Install the AWS Command Line Interface
- To install the AWS CLI on your host machine, refer to the instructions: https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html
Installing the CLI is required to complete the instructions in this guide.
Once you have installed AWS CLI, configure it per the instructions:
https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-
quickstart.html#cliconfigure-quickstart-config
Set the appropriate values for access key ID, secret access key, and AWS Region based on your AWS account. You can set the Output format to “JSON” if you prefer.
Install AWS IoT Greengrass
- Follow the online guide to Install with automatic provisioning. Refer to the instructions in the following steps:
- Set up the device environment
- Provide AWS credentials to the device. For development environments, you can use the option “Use long-term credentials from an IAM User”. An example of how to do this is shown below:
- export AWS_ACCESS_KEY_ID=
- export AWS_SECRET_ACCESS_KEY=
- Download the AWS IoT Greengrass Core software
- Install the AWS IoT Greengrass Core software
Create a Hello World Component
- In AWS IoT Greengrass v2, components can be created on the edge device and uploaded to the cloud, or vice versa.
- To create, deploy, test, update and manage a simple component on your device, follow the instructions under the section “To Create a Hello World Component”:
- https://docs.aws.amazon.com/greengrass/v2/developerguide/getting-started.html
To upload the component to the cloud, follow the instructions under the section “Upload Your Component”:
Deploy your component
- Follow the instructions online at Deploy your Component to deploy and verify that your component is running.
Troubleshooting
- For AWS IoT Greengrass general troubleshooting tips, please refer to: https://docs.aws.amazon.com/greengrass/v2/developerguide/troubleshooting.html
- For device-specific troubleshooting guides, please contact us directly at techsupport@premioinc.com.