AI in Åland Islands
- AI in Åland Islands: Server Configuration and Deployment
This article details the server configuration used to support Artificial Intelligence (AI) initiatives within the Åland Islands. It is intended as a guide for new system administrators and developers contributing to these projects. This deployment focuses on providing a scalable and reliable platform for machine learning model training, inference, and data processing. We will cover hardware, software, networking and security aspects. Please refer to the Main Page for overall project information.
Overview
The Åland Islands AI infrastructure is built around a hybrid cloud approach, leveraging both on-premise servers and cloud resources provided by Cloud Providers. This allows for flexibility, cost optimization, and data sovereignty. The on-premise infrastructure is located in a secure data center in Mariehamn. This deployment prioritizes data privacy in accordance with Åland Islands Data Protection Regulations. Initial deployments focused on Natural Language Processing and Computer Vision applications. Future expansion will include Reinforcement Learning capabilities.
Hardware Specifications
The core on-premise AI server infrastructure consists of the following:
| Component | Specification | Quantity |
|---|---|---|
| CPU | Intel Xeon Gold 6338 (32 cores, 64 threads) | 4 |
| RAM | 512 GB DDR4 ECC Registered 3200MHz | 4 |
| GPU | NVIDIA A100 80GB PCIe 4.0 | 8 |
| Storage (OS/Boot) | 1TB NVMe PCIe 4.0 SSD | 4 |
| Storage (Data) | 16TB SAS 12Gbps 7.2K RPM HDD (RAID 6) | 2 Arrays |
| Network Interface | 100 Gigabit Ethernet (Dual Port) | 4 |
These servers are housed in a redundant power and cooling environment. Detailed rack diagrams are available on the Data Center Documentation page. We utilize a Server Monitoring System for proactive issue detection.
Software Stack
The software stack is designed for flexibility and ease of management. We prioritize open-source technologies where possible, adhering to Open Source Policy.
| Layer | Software | Version |
|---|---|---|
| Operating System | Ubuntu Server 22.04 LTS | 22.04 |
| Containerization | Docker | 24.0.5 |
| Orchestration | Kubernetes | 1.27.3 |
| Machine Learning Frameworks | TensorFlow, PyTorch, scikit-learn | Latest Stable Releases |
| Data Storage | Ceph | Quincy |
| Monitoring | Prometheus, Grafana | Latest Stable Releases |
All machine learning models are deployed using Model Deployment Pipeline. We also utilize a dedicated Data Versioning System for reproducibility. This setup allows for easy scaling and deployment of new AI models. Regular security updates are applied as per the Security Update Schedule.
Networking Configuration
The network infrastructure is critical for performance and security. We employ a layered approach to network security.
| Aspect | Configuration |
|---|---|
| Network Topology | VLAN-segmented network with separate zones for management, data, and public access. |
| Firewall | pfSense |
| Load Balancing | HAProxy |
| DNS | Bind9 |
| Internal Network | 10.0.0.0/16 |
| External Network | Provided by Internet Service Provider |
All communication between servers is encrypted using TLS/SSL Encryption. Network traffic is monitored using a Network Intrusion Detection System. Firewall rules are reviewed quarterly as per the Firewall Management Policy. Detailed network diagrams can be found on the Network Documentation page. We utilize Virtual Private Networks for secure remote access.
Security Considerations
Security is paramount. The following measures are in place:
- Regular vulnerability scans using Vulnerability Scanning Tools.
- Multi-factor authentication for all administrative access.
- Data encryption at rest and in transit.
- Strict access control policies.
- Regular security audits performed by Security Audit Team.
- Intrusion detection and prevention systems.
- Compliance with GDPR Regulations.
- Incident response plan documented on the Incident Response Plan page.
Future Expansion
We plan to expand the infrastructure to include more specialized hardware, such as TPUs, and to integrate with additional cloud providers. We will continue to evaluate and adopt new AI technologies as they become available. The roadmap for future expansion is detailed in the AI Infrastructure Roadmap. We are also investigating Federated Learning techniques to further enhance data privacy.
Main Page Data Center Documentation Server Monitoring System Åland Islands Data Protection Regulations Natural Language Processing Computer Vision Reinforcement Learning Cloud Providers Mariehamn Open Source Policy Model Deployment Pipeline Data Versioning System Security Update Schedule TLS/SSL Encryption Network Intrusion Detection System Firewall Management Policy Network Documentation Virtual Private Networks Vulnerability Scanning Tools Security Audit Team GDPR Regulations Incident Response Plan AI Infrastructure Roadmap Federated Learning
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.* ⚠️