Premio LLM-1U-RPL 1U Edge AI Rackmount Server User Guide

LLM-1U-RPL 1U Edge AI Rackmount Server

Product Information

Specifications

  • Version: 1.0
  • Date: July 2025
  • Description: Publish Document

Overview

AWS IoT Greengrass is a platform that extends AWS capabilities
to the edge devices, allowing for local execution of cloud-based
services and machine learning inference. It enables seamless
communication between devices and the cloud.

Hardware Description

DataSheet: Click on this link to view the datasheet of
LLM-1U-RPL.

For additional hardware details, please refer to the LLM-1U-RPL
device page.

Set up your Development Environment

AWS IoT Greengrass supports both Windows and Linux operating
systems. Refer to the developer guide for the required tools and
proper setup.

Set up your Hardware

Refer to the device User’s Manual for the hardware setup
instructions.

Install the AWS Command Line Interface

To install the AWS CLI on your host machine, follow the
instructions provided in the link. Configuring the CLI with your
AWS account credentials is necessary for completing the setup.

Install AWS IoT Greengrass

Follow the online guide for installing AWS IoT Greengrass. The
installation process involves setting up the device environment,
providing AWS credentials, downloading and installing the AWS IoT
Greengrass Core software.

Create a Hello World Component

In AWS IoT Greengrass v2, components can be created on the edge
device or in the cloud. Follow the instructions to create, deploy,
test, update, and manage a simple component on your device. You can
also upload the component to the cloud.

Deploy your component

Follow the instructions online to deploy your component and
verify its functionality.

Troubleshooting

For general troubleshooting tips related to AWS IoT Greengrass,
refer to the troubleshooting guide. For device-specific issues,
contact techsupport@premioinc.com.

FAQ

Q: Can I use AWS IoT Greengrass on macOS?

A: Currently, AWS IoT Greengrass supports Windows and Linux
operating systems only. macOS is not officially supported.

Q: How do I update AWS IoT Greengrass Core software?

A: To update the AWS IoT Greengrass Core software, you can
follow the instructions provided in the official documentation or
use the automatic update feature if available.

LLM-1U-RPL 1U Edge AI Rackmount Server with 12th/13th Gen Intel® Core® Processor and Q670E Chipset Getting Started Guide for AWS IoT Greengrass

Table of Contents
1 Document Information ……………………………………………………………………………………………. 1 2 Overview ………………………………………………………………………………………………………………… 2 3 Hardware Description ……………………………………………………………………………………………… 2 4 Set up your Development Environment …………………………………………………………………….. 2 5 Set up your Hardware ……………………………………………………………………………………………… 3 6 Setup your AWS account and Permissions ………………………………………………………………… 3 7 Create Resources in AWS IoT ………………………………………………………………………………….. 3 8 Install the AWS Command Line Interface…………………………………………………………………. 4 9 Install AWS IoT Greengrass…………………………………………………………………………………….. 4 10 Create a Hello World Component …………………………………………………………………………….. 4 11 Troubleshooting ……………………………………………………………………………………………………… 5

1 Document Information

Version 1.0

Date July 2025

Description Publish Document

2023.06.19

2 Overview
2.1 Introduction The LLM-1U-RPL is a short-depth 1U edge AI server purpose-built for on-premises large language model (LLM) inferencing. Designed for real-time generative AI workloads, it supports full-length professional NVIDIA RTX GPUs and 13th Gen Intel Core processors. Engineered for on-prem processing and data privacy, the LLM-1URPL enables local deployment of generative AI in industrial edge, field, and enterprise environments. It features PCIe 4.0 expansion, high-speed NVMe storage, redundant power, and hardware-level cybersecurity. With UL, CE, FCC, and IEC 62443-4-1 certifications, this edge server ensures high reliability and compliance for mission-critical deployments in space-constrained installations like micro data centers and control rooms.
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 to view the datasheet of LLM-1U-RPL. 3.2 Additional Hardware References
Please refer to the LLM-1U-RPL 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/)
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· 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
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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
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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.
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Documents / Resources

Premio LLM-1U-RPL 1U Edge AI Rackmount Server [pdf] User Guide
LLM-1U-RPL, LLM-1U-RPL 1U Edge AI Rackmount Server, 1U Edge AI Rackmount Server, Edge AI Rackmount Server, AI Rackmount Server, Rackmount Server, Server

References

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