RCO-6000-RPL-2-4B7M AI Edge Inference
Computer W/ LGA 1700 for Intel 12/13th
Gen CPU & R680E PCH, 2x LAN, 6x SDD, 2x
PCIe Getting Started Guide for AWS IoT
Greengrass
Document Information
| Version | Date | Description |
| 1.0 | Dec-23 | Publish Document |
Overview
2.1 Introduction
The RCO-6000-RPL-2-4B7M Series AI Edge Inference Computer incorporates advanced performance with Intel’s 13th 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.
2.2 About AWS IoT Greengrass
To learn more about AWS IoT Greengrass, see how it works and what’s new.
Hardware Description
3.1 DataSheet
Click on this link (https://premio.blob.core.windows.net/premio/uploads/resource/datasheet/RCO-6000-RPL/DS_RCO-6000-RPL-2-4B7M_Premio.pdf) to view the datasheet of RCO6000-RPL-2-4B7M.
3.2 Additional Hardware References
Please refer to the RCO-6000-RPL-2-4B7M device page for more product details
3.3 User Provided Items
Not applicable.
3.4 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 Output format to “json” if you prefer.
Install AWS IoT Greengrass
Refer to the instructions on how to install AWS IoT Greengrass Core: https://docs.aws.amazon.com/greengrass/v2/developerguide/install-greengrass-corev2.html
You can download the latest version of the AWS IoT Greengrass Core from this location: https://d2s8p88vqu9w66.cloudfront.net/releases/greengrass-nucleus-latest.zip
Alternatively, you can download a specific version of the AWS IoT Greengrass Core software from the location below. Replace version with the version you wish to download:
https://d2s8p88vqu9w66.cloudfront.net/releases/greengrass-version.zip
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”: https://docs.aws.amazon.com/greengrass/v2/developerguide/upload-firstcomponent.html
10.1 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 guide, please contact us directly at techsupport@premioinc.com.
Documents / Resources
 |
premio R680E AI Edge Inference Computer [pdf] Instructions R680E AI Edge Inference Computer, R680E, AI Edge Inference Computer, Edge Inference Computer, Inference Computer, Computer |
 |
premio R680E AI Edge Inference Computer [pdf] Instructions RCO-6000-RPL-2-2B15M, R680E, R680E AI Edge Inference Computer, R680E, AI Edge Inference Computer, Edge Inference Computer, Inference Computer |
 |
premio R680E AI Edge Inference Computer [pdf] User Guide R680E AI Edge Inference Computer, R680E, AI Edge Inference Computer, Edge Inference Computer, Inference Computer, Computer |
