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.
- **Access Control:** Strict role-based access control (RBAC) is enforced using Special:Search/LDAP integration.
- **Data Encryption:** All sensitive data is encrypted at rest and in transit using TLS/SSL encryption.
- **Intrusion Detection:** Special:Search/Snort is used for real-time intrusion detection.
- **Regular Backups:** Daily backups are performed and stored offsite for disaster recovery. See Special:Search/Backup Strategy.
- **Vulnerability Scanning:** Weekly vulnerability scans are conducted using Special:Search/Nessus.
Future Expansion
Planned expansions include adding more GPU servers to increase processing capacity and implementing a distributed database system for improved scalability. We are also exploring the use of edge computing to bring AI processing closer to the data source. Further documentation can be found at Special:Search/Future Plans.
Special:Search/GPU Servers
Special:Search/Kubernetes
Special:Search/Data Storage
Special:Search/Network Security
Special:Search/Linux Administration
Special:Search/AI Development
Special:Search/Machine Learning
Special:Search/TensorFlow
Special:Search/Docker
Special:Search/Ceph
Special:Search/Prometheus
Special:Search/Alertmanager
Special:Search/Git
Special:Search/Jenkins
Special:Search/iptables
Special:Search/Wireshark
Special:Search/BIND9
Special:Search/LDAP
Special:Search/Snort
Special:Search/Nessus
Special:Search/Backup Strategy
Special:Search/Future Plans
Help:Links
Help:Tables
Special:Search/Isle of Wight
Intel-Based Server Configurations
Configuration | Specifications | Benchmark |
---|---|---|
Core i7-6700K/7700 Server | 64 GB DDR4, NVMe SSD 2 x 512 GB | CPU Benchmark: 8046 |
Core i7-8700 Server | 64 GB DDR4, NVMe SSD 2x1 TB | CPU Benchmark: 13124 |
Core i9-9900K Server | 128 GB DDR4, NVMe SSD 2 x 1 TB | CPU Benchmark: 49969 |
Core i9-13900 Server (64GB) | 64 GB RAM, 2x2 TB NVMe SSD | |
Core i9-13900 Server (128GB) | 128 GB RAM, 2x2 TB NVMe SSD | |
Core i5-13500 Server (64GB) | 64 GB RAM, 2x500 GB NVMe SSD | |
Core i5-13500 Server (128GB) | 128 GB RAM, 2x500 GB NVMe SSD | |
Core i5-13500 Workstation | 64 GB DDR5 RAM, 2 NVMe SSD, NVIDIA RTX 4000 |
AMD-Based Server Configurations
Configuration | Specifications | Benchmark |
---|---|---|
Ryzen 5 3600 Server | 64 GB RAM, 2x480 GB NVMe | CPU Benchmark: 17849 |
Ryzen 7 7700 Server | 64 GB DDR5 RAM, 2x1 TB NVMe | CPU Benchmark: 35224 |
Ryzen 9 5950X Server | 128 GB RAM, 2x4 TB NVMe | CPU Benchmark: 46045 |
Ryzen 9 7950X Server | 128 GB DDR5 ECC, 2x2 TB NVMe | CPU Benchmark: 63561 |
EPYC 7502P Server (128GB/1TB) | 128 GB RAM, 1 TB NVMe | CPU Benchmark: 48021 |
EPYC 7502P Server (128GB/2TB) | 128 GB RAM, 2 TB NVMe | CPU Benchmark: 48021 |
EPYC 7502P Server (128GB/4TB) | 128 GB RAM, 2x2 TB NVMe | CPU Benchmark: 48021 |
EPYC 7502P Server (256GB/1TB) | 256 GB RAM, 1 TB NVMe | CPU Benchmark: 48021 |
EPYC 7502P Server (256GB/4TB) | 256 GB RAM, 2x2 TB NVMe | CPU Benchmark: 48021 |
EPYC 9454P Server | 256 GB RAM, 2x2 TB NVMe |
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⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️