AI in Belfast

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  1. AI in Belfast: Server Configuration

This article details the server configuration supporting the "AI in Belfast" project, providing a technical overview for system administrators and developers. This project focuses on providing accessible AI resources and training within the Belfast community, and requires robust and scalable server infrastructure. This document assumes a basic understanding of Linux server administration and networking concepts.

Overview

The "AI in Belfast" infrastructure consists of three primary server roles: a web server (front-end), an application server (AI model hosting and API), and a database server (metadata and user data). These servers are hosted within a private cloud environment at the Belfast City Hall data center. Redundancy is built in at each layer to ensure high availability. This configuration leverages Debian 11 (Bullseye) as the operating system for all servers. SSH access is strictly controlled using key-based authentication. Firewalls are configured using iptables to restrict incoming and outgoing traffic.

Web Server Configuration

The web server handles all incoming HTTP/HTTPS requests, serving static content and proxying requests to the application server. It's the first point of contact for users.

Software Stack:

Hardware Specifications:

CPU Memory Storage Network Interface
2 x Intel Xeon Silver 4210 32 GB DDR4 ECC RAM 2 x 1 TB NVMe SSD (RAID 1) 10 Gbps Ethernet

Nginx Configuration Highlights:

  • Reverse proxy configuration directing `/api/*` requests to the application server.
  • SSL/TLS configuration for secure communication (HTTPS).
  • Caching rules to reduce load on the application server. See Nginx caching documentation for details.
  • Logging configured to send access and error logs to a central syslog server.


Application Server Configuration

The application server is the core of the "AI in Belfast" project, responsible for hosting the AI models and providing an API for accessing them. It requires significant computational resources. We utilize Docker to containerize the AI models for ease of deployment and scalability.

Software Stack:

Hardware Specifications:

CPU Memory GPU Storage Network Interface
2 x AMD EPYC 7763 128 GB DDR4 ECC RAM 2 x NVIDIA A100 80GB GPUs 4 x 2 TB NVMe SSD (RAID 10) 25 Gbps Ethernet

Docker Compose Configuration:

The application server utilizes a `docker-compose.yml` file to define and manage the various AI model containers. Each container is isolated and can be scaled independently. See the Docker Compose documentation for more details.

Database Server Configuration

The database server stores user data, model metadata, and other persistent data required by the "AI in Belfast" project. Data security and integrity are paramount.

Software Stack:

Hardware Specifications:

CPU Memory Storage Network Interface RAID Level
2 x Intel Xeon Gold 6248R 64 GB DDR4 ECC RAM 4 x 4 TB SAS HDD 10 Gbps Ethernet RAID 6

PostgreSQL Configuration Highlights:

  • Regular vacuuming and analyzing to maintain database performance.
  • Connection pooling to reduce database overhead.
  • Strict access control using PostgreSQL roles and permissions. See PostgreSQL documentation for security best practices.
  • WAL archiving enabled for point-in-time recovery.


Networking Configuration

All servers are connected via a private VLAN. A central DNS server manages internal name resolution. A load balancer distributes traffic across the web servers. VPN access is provided for remote administration.

Security Considerations

  • Regular security audits are conducted.
  • All software is kept up-to-date with the latest security patches.
  • Intrusion detection and prevention systems (IDS/IPS) are in place.
  • Multi-factor authentication (MFA) is required for all administrative access.

Future Enhancements

  • Implementation of a Kubernetes cluster for more sophisticated container orchestration.
  • Integration with a cloud-based object storage service for backups and archiving.
  • Exploration of serverless computing options for certain application components.

Server Administration System Monitoring Database Management Network Security Cloud Computing AI Development Machine Learning Data Science Belfast City Hall Debian Linux Nginx Documentation Docker Documentation PostgreSQL Documentation Let's Encrypt


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.* ⚠️

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