AI in the Tasman Sea

From Server rental store
Revision as of 11:05, 16 April 2025 by Admin (talk | contribs) (Automated server configuration article)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search
  1. AI in the Tasman Sea: Server Configuration

This article details the server infrastructure supporting the "AI in the Tasman Sea" project, a research initiative focused on real-time marine mammal detection and classification using artificial intelligence. It's designed for new contributors to our MediaWiki site and aims to provide a clear understanding of the hardware and software components. Please read this in conjunction with our Server Administration Guide and Networking Protocols documentation.

Project Overview

The "AI in the Tasman Sea" project utilizes a network of underwater acoustic sensors deployed throughout the Tasman Sea. Data is streamed to a central server cluster for processing. The AI models, primarily Deep Neural Networks (DNNs), analyze the acoustic data to identify the presence and species of marine mammals. This data is then used for population monitoring and conservation efforts. Refer to the Project Goals page for more information. Understanding the Data Flow Diagram is crucial before reviewing the server configuration.

Server Cluster Architecture

The server cluster is based on a distributed architecture, comprising several key components. These include: data ingestion servers, processing servers (GPU-accelerated), storage servers, and a management server. Each component has a specific role and is configured for optimal performance. The system relies heavily on Linux Server Hardening best practices.

Data Ingestion Servers

These servers are responsible for receiving data streams from the underwater acoustic sensors. They perform initial data validation and buffering before forwarding the data to the processing servers. They utilize rsync for reliable data transfer.

Data Ingestion Server Specs Value
Server Model Dell PowerEdge R750
CPU Intel Xeon Gold 6338 (2 x 32 cores)
RAM 256 GB DDR4 ECC
Network Interface Dual 10 Gigabit Ethernet
Storage 4 TB NVMe SSD (RAID 1)

Processing Servers

These servers perform the computationally intensive task of running the AI models. They are equipped with high-end GPUs for accelerated processing. They use CUDA Toolkit for GPU programming.

Processing Server Specs Value
Server Model Supermicro SYS-220P-HNR
CPU AMD EPYC 7763 (2 x 64 cores)
RAM 512 GB DDR4 ECC
GPU 4 x NVIDIA A100 (80GB)
Network Interface Dual 100 Gigabit Ethernet
Storage 2 x 8 TB NVMe SSD (RAID 0)

Storage Servers

These servers provide long-term storage for the processed data and AI model checkpoints. They utilize a distributed file system for scalability and redundancy. See the Backup Procedures documentation.

Storage Server Specs Value
Server Model HP ProLiant DL380 Gen10
CPU Intel Xeon Silver 4310 (12 cores)
RAM 128 GB DDR4 ECC
Network Interface Quad 25 Gigabit Ethernet
Storage 16 x 16 TB SAS HDD (RAID 6)

Software Stack

The software stack is built on a foundation of open-source technologies.

Network Configuration

The server cluster is connected via a dedicated high-speed network. The network is segmented into different VLANs to isolate different components. Firewall rules are configured to restrict access to only necessary ports. Please review the Firewall Ruleset.

Security Considerations

Security is a paramount concern. Regular security audits are conducted, and all servers are kept up-to-date with the latest security patches. Intrusion detection systems are in place to monitor for malicious activity. The Security Incident Response Plan is regularly reviewed and updated.



Main Page Server Administration Guide Networking Protocols Project Goals Data Flow Diagram Linux Server Hardening rsync CUDA Toolkit Ubuntu Server Documentation Python Style Guide Ceph Configuration Guide Docker Best Practices Kubernetes Tutorial Monitoring Dashboard Setup VLAN Configuration Firewall Ruleset Backup Procedures Security Incident Response Plan


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

Order Your Dedicated Server

Configure and order your ideal server configuration

Need Assistance?

⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️

Retrieved from "https://serverrental.store/index.php?title=AI_in_the_Tasman_Sea&oldid=2690"