premio RCO-6000-CML AI Edge Inference Computer For Intel 10th Gen CPU Owner’s Manual

July 20, 2024
premio

premio RCO-6000-CML AI Edge Inference Computer For Intel 10th Gen CPU

premio-RCO-6000-CML-AI-Edge-Inference-Computer-For-Intel-10th-Gen-CPU-
PRODUCT

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

Hardware Description

DataSheet

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

It is recommended to install the following tools/SDKs:

Set up your Hardware

Setup your AWS account and Permissions

Follow the steps outlined below to create your account and user to get started:

Create Resources in AWS IoT

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

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

Create a Hello World Component

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

References

Read User Manual Online (PDF format)

Read User Manual Online (PDF format)  >>

Download This Manual (PDF format)

Download this manual  >>

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