Premio RCO-6000-CML-2N2060S AI Edge Inference Computer Instruction Manual

2.1 Introduction
The RCO-6000-CML-2N2060S 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.

Inference capabilities and real-time computing enabled through hardware acceleration support for hot-swappable NVMe cannister bricks, powerful GPUs and m.2 accelerators.

2.2 About AWS IoT Greengrass
To learn more about AWS IoT Greengrass, see how it works and what’s new.

3 Hardware Description

3.1 DataSheet
Click on this link https://premio.blob.core.windows.net/premio/uploads/resource/datasheet/RCO-6000-CML/DS_RCO-6000-CML-2N2060S_Premio.pdf to view the datasheet of RCO-6000-CML-2N2060S.

3.2 Additional Hardware References
Please refer to the RCO-6000-CML-2N2060S device page for more product details

3.3 User Provided Items
Not applicable.

3.4 3rd Party Purchasable Items
Not applicable.

4 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

5 Set up your Hardware

Please refer to the device user’s manual for the hardware setup.

6 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

7 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

8 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.

9 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=<the access key id for your user>
export AWS_SECRET_ACCESS_KEY=<the secret access key for your user>
Download the AWS IoT Greengrass Core software
Install the AWS IoT Greengrass Core software

10 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.

11 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.

2023.06.19

Documents / Resources

Premio RCO-6000-CML-2N2060S AI Edge Inference Computer [pdf] Instruction Manual
RCO-6000-CML-2N2060S AI Edge Inference Computer, RCO-6000-CML-2N2060S, AI Edge Inference Computer, Edge Inference Computer, Inference Computer, Computer

References

User Manual