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AI in Isle of Wight

# AI in Isle of Wight: Server Configuration

This article details the server configuration supporting Artificial Intelligence (AI) initiatives on the Isle of Wight. It is intended as a technical resource for new system administrators and developers contributing to these projects. We'll cover hardware, software, networking, and security considerations. This document assumes a basic understanding of Linux server administration and networking concepts. See Help:Contents for general MediaWiki help.

Overview

The Isle of Wight AI infrastructure is built around a distributed server network, designed for scalability and redundancy. The primary applications include machine learning model training, real-time data analysis, and AI-powered services for local businesses and public sector organizations. This infrastructure is heavily reliant on Special:MyPreferences for user access control.

Hardware Configuration

The server farm consists of three main tiers: input/processing, storage, and network. Each tier utilizes specialized hardware.

Tier Server Type Quantity CPU RAM Storage
Input/Processing GPU Server (NVIDIA A100) 4 Dual Intel Xeon Platinum 8380 512GB DDR4 ECC 1TB NVMe SSD (OS) + 8x 40GB GPU-attached VRAM
Storage High-Density Storage Server 2 Dual AMD EPYC 7763 256GB DDR4 ECC 1PB HDD (RAID 6)
Network Network Management Server 1 Intel Xeon E-2388G 64GB DDR4 ECC 512GB NVMe SSD

These servers are located in a dedicated, climate-controlled data center on the island, ensuring optimal performance and reliability. The data center utilizes redundant power supplies and backup generators. See also Special:Search/Data Center for related documents.

Software Stack

The software stack is built on a Linux foundation, utilizing open-source tools wherever possible. We prioritize containerization for application deployment and management.

Component Version Description
Operating System Ubuntu Server 22.04 LTS Provides the base operating system for all servers.
Containerization Docker 20.10.12 Used for packaging and deploying applications in containers.
Orchestration Kubernetes 1.24 Manages and scales containerized applications.
Machine Learning Framework TensorFlow 2.9.1 Primary framework for model training and inference.
Data Storage Ceph Quincy Distributed object storage for large-scale data.
Monitoring Prometheus 2.38.0 System and application monitoring. Alerting via Special:Search/Alertmanager.

All code is managed using Special:Search/Git and stored in a private Git repository. Continuous Integration/Continuous Deployment (CI/CD) pipelines are implemented using Special:Search/Jenkins.

Network Configuration

The server network is segmented into multiple VLANs for security and performance. A dedicated 10Gbps fiber optic connection provides high-bandwidth access to the internet.

VLAN ID Subnet Description
10 192.168.10.0/24 Input/Processing Servers
20 192.168.20.0/24 Storage Servers
30 192.168.30.0/24 Management Network
40 192.168.40.0/24 Public Facing Services (AI APIs)

Firewall rules are configured using Special:Search/iptables to restrict access to specific ports and services. Network traffic is monitored using Special:Search/Wireshark for security analysis and troubleshooting. DNS is served by a local Special:Search/BIND9 server.

Security Considerations

Security is paramount. All servers are hardened using industry best practices, including regular security updates, intrusion detection systems (IDS), and vulnerability scanning.

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

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