AI assistant
- AI Assistant Server Configuration
This article details the server configuration for the AI Assistant service, designed to provide intelligent support within our MediaWiki environment. This guide is intended for newcomers to the server administration team and outlines the hardware, software, and network requirements. Understanding these specifications is crucial for maintaining the stability and performance of the AI assistant.
Overview
The AI Assistant utilizes a dedicated server to process natural language queries, generate responses, and integrate with the MediaWiki API. It’s designed to enhance user experience by providing quick access to information and streamlining common tasks. This server handles tasks such as summarizing help pages, answering factual questions about wiki content, and assisting with basic editing. The AI Assistant’s functionality relies heavily on the performance of the underlying hardware and the correct configuration of its software stack. Proper configuration is essential.
Hardware Specifications
The AI Assistant server requires significant computational resources due to the demands of large language models. The following table details the necessary hardware components.
| Component | Specification | Quantity |
|---|---|---|
| CPU | Intel Xeon Gold 6338 (32 Cores) | 2 |
| RAM | 256GB DDR4 ECC Registered | 1 |
| Storage (OS) | 500GB NVMe SSD | 1 |
| Storage (Model Data) | 4TB NVMe SSD (RAID 1) | 2 |
| Network Interface Card (NIC) | 10 Gigabit Ethernet | 2 |
| Power Supply | 1600W Redundant | 2 |
This hardware configuration ensures sufficient processing power, memory capacity, and storage space to handle the AI Assistant’s workload. Consider server version compatibility.
Software Stack
The AI Assistant relies on a specific software stack to function correctly. This includes the operating system, programming languages, machine learning frameworks, and API connectors. Detailed software versions are crucial for reproducibility and troubleshooting.
| Software | Version | Purpose |
|---|---|---|
| Operating System | Ubuntu Server 22.04 LTS | Base operating system for the server |
| Python | 3.10.6 | Primary programming language for AI logic |
| TensorFlow | 2.12.0 | Machine learning framework |
| PyTorch | 2.0.1 | Alternative machine learning framework |
| Transformers | 4.28.1 | Library for pre-trained language models |
| Flask | 2.2.2 | Web framework for creating the API endpoint |
| MediaWiki API Wrapper | Custom (v1.2) | Facilitates communication with the MediaWiki instance |
Regular software updates are crucial for security and performance. The upgrade process should be followed for all components.
Network Configuration
Proper network configuration is vital for the AI Assistant to communicate with the MediaWiki instance and external resources. Security considerations are paramount.
| Parameter | Value | |
|---|---|---|
| Hostname | ai-assistant.example.com | Server hostname |
| IP Address | 192.168.1.100 | Static IP address |
| Subnet Mask | 255.255.255.0 | Network subnet mask |
| Gateway | 192.168.1.1 | Default gateway |
| DNS Servers | 8.8.8.8, 8.8.4.4 | Public DNS servers |
| Firewall Rules | Allow inbound traffic on port 5000 (API), Allow outbound traffic to MediaWiki API | Security rules |
The AI assistant's API endpoint is accessible on port 5000. All communication with the MediaWiki API is secured using appropriate authentication mechanisms. Refer to the MediaWiki API documentation for more information. Network monitoring and server statistics are essential for proactive issue detection.
Security Considerations
Security is paramount when deploying an AI assistant. The following measures are in place to protect the server and the MediaWiki instance:
- **Firewall:** A strict firewall policy restricts access to the server, only allowing necessary traffic.
- **Authentication:** All API requests are authenticated to prevent unauthorized access.
- **Data Encryption:** Sensitive data is encrypted both in transit and at rest.
- **Regular Security Audits:** Periodic security audits are conducted to identify and address potential vulnerabilities.
- **Access Control:** Access to the server is restricted to authorized personnel only.
- **Rate Limiting:** API requests are rate-limited to prevent denial-of-service attacks.
Future Enhancements
We plan to implement the following enhancements to the AI Assistant:
- **Improved Natural Language Understanding:** Integrating more advanced language models for better accuracy.
- **Expanded Functionality:** Adding support for more complex tasks, such as content creation and translation.
- **Personalized Responses:** Tailoring responses to individual user preferences.
- **Integration with Other Services:** Connecting the AI Assistant to other internal tools and systems. See extensions for possible integration points.
- **Monitoring and Alerting**: Proactive monitoring of server performance and automated alerts for critical issues.
Help:Contents Manual:Configuration settings Manual:Upgrading MediaWiki Help:API Special:Version Special:Statistics Manual:Extensions Help:Editing Help:Search Help:Table formatting Special:AllMessages Manual:PyWikiBot Help:Linking Manual:FAQ Help:Templates Special:UserLogin
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.* ⚠️