AI in Reading
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- REDIRECT AI in Reading Server Configuration
AI in Reading Server Configuration
This document details the server configuration for the "AI in Reading" project, a system designed to enhance reading comprehension through artificial intelligence. This guide is intended for new system administrators and engineers joining the project. It outlines the hardware, software, and network configurations required for a stable and performant environment. Please refer to the System Architecture Overview for a broader understanding of the project.
Hardware Overview
The AI in Reading project utilizes a cluster of servers to handle the processing load. Each server is designed for high performance and reliability. The following table summarizes the core hardware components:
| Component | Specification |
|---|---|
| CPU | Dual Intel Xeon Gold 6248R (24 cores per CPU) |
| RAM | 512 GB DDR4 ECC Registered 2933MHz |
| Storage (OS) | 2 x 480GB NVMe SSD (RAID 1) |
| Storage (Data) | 8 x 4TB SAS 12Gbps 7.2k RPM HDD (RAID 6) |
| Network Interface | Dual 100Gbps Ethernet (Mellanox ConnectX-6) |
| Power Supply | 2 x 1600W Redundant Power Supplies |
These specifications are detailed in the Hardware Procurement Documentation. Regular hardware health checks are performed as outlined in the Server Maintenance Schedule. Consider reviewing the Disaster Recovery Plan for hardware failure scenarios.
Software Stack
The software stack is built around a Linux operating system with several key AI and data processing frameworks. A consistent software environment is crucial for reproducibility and maintainability. See the Software Version Control Policy for details on version management.
| Software | Version | Purpose |
|---|---|---|
| Operating System | Ubuntu Server 20.04 LTS | Base OS for all servers |
| Python | 3.8.10 | Primary programming language |
| TensorFlow | 2.7.0 | Machine Learning Framework |
| PyTorch | 1.10.0 | Alternative Machine Learning Framework |
| CUDA Toolkit | 11.3 | GPU acceleration for TensorFlow and PyTorch |
| Docker | 20.10.7 | Containerization platform for deployment |
| Kubernetes | 1.22.3 | Container orchestration system |
All software packages are managed using APT Package Management and documented in the Software Installation Guides. Security updates are applied automatically according to the Security Patching Policy.
Network Configuration
The server cluster is deployed within a dedicated VLAN to ensure network isolation and security. The network configuration is essential for communication between servers and external services.
| Parameter | Value |
|---|---|
| VLAN ID | 100 |
| Subnet Mask | 255.255.255.0 |
| Gateway | 192.168.100.1 |
| DNS Servers | 8.8.8.8, 8.8.4.4 |
| Firewall | UFW (Uncomplicated Firewall) - configured per Firewall Ruleset |
| Load Balancer | HAProxy - configured as per Load Balancing Configuration |
Network monitoring is performed using Nagios Monitoring System and alerts are sent to the On-Call Rotation Schedule. Refer to the Network Topology Diagram for a visual representation of the network infrastructure. All network changes must be approved through the Change Management Process. Consider the Security Hardening Guide for additional network security measures. For inter-server communication, we utilize gRPC Communication Protocol. The Database Connection Strings are crucial for application functionality. Regularly review the Log Analysis Procedures for network-related issues. The API Gateway Configuration impacts network traffic.
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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.* ⚠️