AI in the Arctic Ocean
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AI in the Arctic Ocean: Server Configuration
This document details the server configuration powering the "AI in the Arctic Ocean" project. This project focuses on real-time data analysis from underwater sensors deployed in the Arctic, utilizing Artificial Intelligence (AI) to monitor changes in the ecosystem, ice conditions, and marine life. This article is intended for new system administrators and developers contributing to the project. It covers hardware specifications, software stack, and networking considerations. See also Project Overview for background information.
Project Goals
The primary goals driving the server configuration are:
- High Availability: The Arctic environment presents unique challenges to data transmission. We require a resilient system capable of operating with intermittent connectivity. Data Redundancy is critical.
- Scalability: As the sensor network expands, the system must scale to accommodate increased data volume and processing demands. Scaling Strategies are outlined below.
- Real-time Processing: Certain AI algorithms require immediate analysis of incoming data streams. Latency Requirements dictate specific hardware choices.
- Remote Management: Physical access to the servers is limited, necessitating robust remote management capabilities. Remote Access Protocols are detailed.
Hardware Specifications
The server infrastructure consists of a primary cluster located in a secure data center in Tromsø, Norway, and a secondary disaster recovery site in Reykjavik, Iceland. Each site utilizes the following hardware:
| Component | Specification (Primary Cluster) | Specification (Disaster Recovery) |
|---|---|---|
| CPU | 2x Intel Xeon Gold 6338 (32 cores/64 threads per CPU) | 2x Intel Xeon Silver 4310 (12 cores/24 threads per CPU) |
| RAM | 512 GB DDR4 ECC Registered 3200MHz | 256 GB DDR4 ECC Registered 3200MHz |
| Storage (OS) | 2x 960GB NVMe SSD (RAID 1) | 2x 480GB NVMe SSD (RAID 1) |
| Storage (Data) | 6x 16TB SAS HDD (RAID 6) | 4x 8TB SAS HDD (RAID 5) |
| Network Interface | 2x 100GbE | 2x 10GbE |
| Power Supply | 2x 1600W Redundant | 2x 850W Redundant |
The choice of hardware reflects the different roles of each site. The primary cluster requires higher processing power and storage capacity for real-time analysis, while the disaster recovery site prioritizes cost-effectiveness and rapid failover capability. See Hardware Procurement for details on vendor selection.
Software Stack
The software stack is designed for data ingestion, processing, and visualization.
| Component | Version | Description |
|---|---|---|
| Operating System | Ubuntu Server 22.04 LTS | Provides a stable and secure base for the entire stack. OS Hardening Guide |
| Database | PostgreSQL 14 | Stores sensor data and metadata. Database Schema |
| Message Queue | RabbitMQ 3.9 | Facilitates asynchronous communication between data ingestion and processing components. Message Queue Configuration |
| AI Framework | TensorFlow 2.9 | Used for developing and deploying AI models. AI Model Training |
| Data Visualization | Grafana 8.5 | Provides dashboards for real-time monitoring and historical analysis. Grafana Dashboard Examples |
| Containerization | Docker 20.10 | Enables consistent deployment and scaling of applications. Docker Best Practices |
All components are containerized using Docker and orchestrated using Kubernetes. This ensures portability, scalability, and ease of deployment. Kubernetes Cluster Setup provides detailed instructions for setting up the Kubernetes cluster.
Networking Configuration
The network is configured to provide high bandwidth and low latency connectivity between the sensors, the primary cluster, and the disaster recovery site.
| Network Segment | IP Range | Purpose |
|---|---|---|
| Sensor Network | 192.168.10.0/24 | Connects underwater sensors. Uses satellite communication. |
| Primary Cluster | 10.0.0.0/16 | Hosts the core data processing and AI services. |
| Disaster Recovery | 172.16.0.0/16 | Provides backup and failover capabilities. |
| Management Network | 192.168.20.0/24 | Used for remote server administration. Firewall Rules |
A Virtual Private Network (VPN) connects the primary cluster and the disaster recovery site, ensuring secure data replication. The network is monitored using Prometheus and Alertmanager. See Network Monitoring Guide for details. Bandwidth allocation is dynamically managed using Quality of Service (QoS) policies. QoS Configuration outlines these policies.
Security Considerations
Security is paramount. All servers are hardened according to industry best practices. Regular security audits are performed. Firewall rules restrict access to essential services only. Data encryption is used both in transit and at rest. Security Audit Reports are available internally. Multi-factor authentication (MFA) is required for all administrative access.
AI Algorithms Used Data Storage Strategy Sensor Calibration Procedures Troubleshooting Guide Contact Information
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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.* ⚠️