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AI in the Tongan Rainforest

# AI in the Tongan Rainforest: Server Configuration

This article details the server configuration powering the "AI in the Tongan Rainforest" project, a long-term ecological monitoring initiative utilizing artificial intelligence for data analysis. This guide is intended for new contributors to the MediaWiki site and provides a technical overview of the infrastructure. Understanding this configuration is crucial for development, maintenance, and troubleshooting.

Project Overview

The "AI in the Tongan Rainforest" project employs a network of sensor nodes collecting data on biodiversity, climate, and environmental changes within the rainforest. This data is transmitted to a central server for processing and analysis using machine learning algorithms. The project focuses on identifying species via audio analysis, monitoring forest health through image recognition, and predicting potential environmental risks using time series analysis. This requires significant computational resources and a robust, reliable server infrastructure. See also Data Acquisition and Data Storage.

Server Hardware Specifications

The primary server, nicknamed "Moana", is housed in a secure, climate-controlled data center in Nuku'alofa. It serves as the central hub for data processing, model training, and data dissemination. The following table details the key hardware components:

Component Specification Quantity
CPU Intel Xeon Gold 6248R (24 cores) 2
RAM 256 GB DDR4 ECC Registered 1
Storage (OS) 512 GB NVMe SSD 1
Storage (Data) 64 TB SAS HDD (RAID 6) 1 Array
Network Interface 10 Gigabit Ethernet 2
Power Supply 1600W Redundant Power Supplies 2

This configuration provides ample processing power and storage capacity for the current project demands, with scalability in mind for future expansion. Refer to the Hardware Inventory for detailed asset tracking.

Software Stack

The server operates on a Linux-based operating system and utilizes a variety of software tools for data management, machine learning, and web serving. We chose Ubuntu Server 22.04 LTS for its stability and extensive package availability.

Software Version Purpose
Operating System Ubuntu Server 22.04 LTS Server OS
Database PostgreSQL 14 Data Storage & Management
Machine Learning Framework TensorFlow 2.12 Model Training & Inference
Web Server Apache 2.4 Serving Web Applications & APIs
Programming Language Python 3.10 Scripting & Data Processing
Data Visualization Matplotlib 3.7 Creating Charts and Graphs

All software is regularly updated to ensure security and stability. See Software Updates for our patching schedule. The API Documentation details how to access the project’s data.

Network Configuration

The server is connected to the internet via a dedicated 10 Gigabit Ethernet connection. A firewall, configured with iptables, protects the server from unauthorized access. The network is segmented into distinct zones for security:

⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️

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