AI in Channel Islands
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- AI in Channel Islands: Server Configuration
This article details the server configuration supporting Artificial Intelligence (AI) initiatives within the Channel Islands. It is aimed at newcomers to our MediaWiki site and assumes a basic understanding of server administration. This deployment focuses on providing computational resources for machine learning models, data analysis, and real-time AI applications. We will cover hardware specifications, software stack, networking, and security considerations. Please refer to Special:MyPreferences to customize your MediaWiki experience.
Overview
The Channel Islands AI infrastructure is designed for scalability and redundancy. We currently operate a clustered setup, distributed across two primary data centers – one in Jersey and one in Guernsey – to ensure high availability and disaster recovery. This setup leverages a hybrid cloud model, utilizing both on-premise hardware and cloud-based resources via Special:Search/Amazon Web Services. The primary goal is to support research into Special:Search/Natural Language Processing and Special:Search/Computer Vision applications relevant to the islands' unique environment and economy. Regular backups are performed using Special:Search/rsync.
Hardware Specifications
The core of the AI infrastructure consists of high-performance servers equipped with specialized hardware for AI workloads. Here's a breakdown of the key components:
| Component | Specification | Quantity |
|---|---|---|
| CPU | Dual Intel Xeon Platinum 8380 (40 cores/80 threads per CPU) | 16 |
| RAM | 512GB DDR4 ECC Registered (3200MHz) | 16 |
| GPU | NVIDIA A100 (80GB HBM2e) | 8 |
| Storage (OS/Boot) | 1TB NVMe PCIe Gen4 SSD | 16 |
| Storage (Data) | 4 x 18TB Enterprise-Grade HDD (RAID 10) | 4 Arrays |
| Network Interface | Dual 100GbE QSFP28 | 16 |
These servers are housed in dedicated racks with redundant power supplies and cooling systems. The data centers are monitored 24/7 using Special:Search/Nagios for performance and environmental conditions. Detailed server inventory is managed through Special:Search/Asset Management System.
Software Stack
The software stack is built around a Linux distribution (Ubuntu 22.04 LTS) and utilizes containerization technology for application deployment and management.
| Software | Version | Purpose |
|---|---|---|
| Operating System | Ubuntu 22.04 LTS | Base OS for all servers. |
| Containerization | Docker 24.0.5 | Application packaging and deployment. |
| Orchestration | Kubernetes 1.27 | Container orchestration and management. |
| Machine Learning Frameworks | TensorFlow 2.13, PyTorch 2.0, scikit-learn 1.3 | AI model development and training. |
| Data Science Tools | Jupyter Notebook, RStudio | Data analysis and visualization. |
| Database | PostgreSQL 15 | Data storage and management. |
We also utilize Special:Search/Prometheus for monitoring the software stack and Special:Search/Grafana for creating dashboards and visualizations. All code is version controlled using Special:Search/Git and hosted on Special:Search/GitHub. Regular security updates are applied using Special:Search/apt-get.
Networking Configuration
The network infrastructure is designed to provide high bandwidth and low latency connectivity between servers and to external networks.
| Network Component | Specification | Details |
|---|---|---|
| Core Switches | Arista 7050X Series | High-performance, low-latency switches. |
| Interconnect | 100GbE Fiber Optic | Connects servers within and between data centers. |
| Firewall | Palo Alto Networks PA-820 | Protects the network from external threats. See Special:Search/Firewall Ruleset for details. |
| Load Balancer | HAProxy | Distributes traffic across multiple servers. |
| DNS | Bind9 | Provides domain name resolution. |
Network segmentation is implemented to isolate different parts of the infrastructure and enhance security. We employ Special:Search/VLANs to separate traffic for different applications and teams. Regular network audits are conducted to identify and address potential vulnerabilities. Network monitoring is handled using Special:Search/Wireshark.
Security Considerations
Security is a top priority. We implement a multi-layered security approach to protect the AI infrastructure from unauthorized access and data breaches. This includes:
- Strong authentication and authorization mechanisms.
- Regular vulnerability scanning and patching.
- Intrusion detection and prevention systems.
- Data encryption at rest and in transit.
- Strict access control policies.
- Regular security awareness training for personnel.
- Compliance with relevant data privacy regulations. See Special:Search/GDPR Compliance.
Future Enhancements
Planned future enhancements include upgrading the GPU infrastructure to the latest NVIDIA H100 series, expanding the storage capacity with NVMe-oF, and integrating with additional cloud providers. We are also exploring the use of Special:Search/Federated Learning to enable collaborative AI model training without sharing sensitive data.
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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.* ⚠️