AI in the Caspian Sea

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AI in the Caspian Sea: Server Configuration

This article details the server configuration supporting the "AI in the Caspian Sea" project, a research initiative focused on environmental monitoring and predictive modeling using artificial intelligence. This document is aimed at new system administrators joining the project and provides a comprehensive overview of the hardware, software, and network infrastructure. Understanding this configuration is critical for maintaining system stability and supporting ongoing research. Please refer to the System Administration Guide for general procedures.

Project Overview

The "AI in the Caspian Sea" project utilizes a network of sensors deployed throughout the Caspian Sea to collect data on water quality, marine life, and weather patterns. This data is processed in real-time using machine learning algorithms to identify trends, predict potential environmental hazards, and inform conservation efforts. The core of this operation rests on a robust and scalable server infrastructure. Refer to the Project Documentation for details about the scientific goals. Data ingestion is handled by the Data Ingestion Pipeline and model training is performed with Machine Learning Frameworks.

Hardware Infrastructure

The server infrastructure is housed in a dedicated data center located in Aktau, Kazakhstan. It consists of a cluster of high-performance servers interconnected by a low-latency network. Detailed specifications are provided below. Power redundancy is managed by the Power Management System.

Server Role Model CPU RAM Storage Network Interface
Data Ingestion Dell PowerEdge R750 2x Intel Xeon Gold 6338 256 GB DDR4 ECC 8x 4TB SAS 12Gbps 7.2K RPM 2x 100GbE
Model Training HP ProLiant DL380 Gen10 2x AMD EPYC 7763 512 GB DDR4 ECC 4x 8TB NVMe PCIe Gen4 2x 100GbE
Data Storage NetApp FAS2750 Dual Intel Xeon Gold 6248R 512 GB DDR4 ECC 24x 16TB SAS 12Gbps 7.2K RPM (RAID 6) 2x 40GbE
Web Server/API Supermicro SuperServer 1U 2x Intel Xeon Silver 4310 128 GB DDR4 ECC 2x 1TB SATA SSD 2x 10GbE

Software Stack

The servers run a customized version of Ubuntu Server 22.04 LTS. The core software components include:

  • Operating System: Ubuntu Server 22.04 LTS
  • Database: PostgreSQL 14 with the PostGIS extension for geospatial data.
  • Web Server: Nginx. Configuration files are located in Nginx Configuration Directory.
  • Programming Languages: Python 3.10, R 4.2.0
  • Machine Learning Frameworks: TensorFlow 2.10, PyTorch 1.12.
  • Containerization: Docker and Kubernetes are used for deploying and managing microservices. See the Kubernetes Deployment Guide.
  • Monitoring: Prometheus and Grafana for system monitoring and alerting.

Network Configuration

The network infrastructure is designed for high bandwidth and low latency.

Component IP Address Range Subnet Mask Gateway
Data Ingestion Servers 192.168.1.100 - 192.168.1.110 255.255.255.0 192.168.1.1
Model Training Servers 192.168.2.100 - 192.168.2.110 255.255.255.0 192.168.2.1
Data Storage Server 192.168.3.100 255.255.255.0 192.168.3.1
Web Server/API Server 192.168.4.100 - 192.168.4.110 255.255.255.0 192.168.4.1

Firewall rules are managed using UFW (Uncomplicated Firewall). Access to the servers is restricted to authorized personnel via SSH. Refer to the Network Security Policy for detailed information. DNS resolution is provided by an internal DNS Server.

Data Backup and Disaster Recovery

Regular data backups are performed to ensure data integrity and availability. Backups are stored both on-site and off-site. The disaster recovery plan is documented in the Disaster Recovery Plan. Backup schedules are detailed in the Backup Schedule.

Backup Type Frequency Storage Location
Full Backup Weekly Off-site cloud storage
Incremental Backup Daily On-site NAS
Transaction Log Backup Hourly On-site NAS

Security Considerations

Security is a paramount concern. All servers are regularly patched and updated. Intrusion detection and prevention systems are in place. Access control is strictly enforced. Security audits are conducted quarterly. See the Security Audit Reports. Further security details can be found on the Security Best Practices page.



Data Center Location System Monitoring Tools Database Administration Firewall Configuration SSH Access Control Data Encryption User Account Management Incident Response Plan Change Management Process Version Control System API Documentation Sensor Network Configuration Environmental Monitoring Data Machine Learning Algorithms PostGIS Documentation Kubernetes Documentation


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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