AI Governance
```wiki
- AI Governance: Server Configuration
This article details the server configuration necessary for robust AI Governance, focusing on infrastructure aspects. This is intended as a guide for new system administrators managing AI-related systems within our environment. Understanding these configurations is crucial for maintaining compliance, security, and performance. Refer to Data Security Policy and AI Ethics Guidelines for overarching principles.
Introduction to AI Governance and Server Requirements
AI Governance encompasses the policies, procedures, and technologies used to manage the risks and ensure the responsible development and deployment of Artificial Intelligence systems. Our infrastructure must support these goals. Key requirements include detailed logging, access control, audit trails, and the ability to reproduce model training runs. This necessitates specific server configurations beyond standard application hosting. See also Change Management Process.
Hardware Specifications
The following table outlines the minimum hardware specifications for AI Governance servers. These are baseline requirements and may need to be scaled based on the complexity of the AI models and data volumes.
| Component | Minimum Specification | Recommended Specification |
|---|---|---|
| CPU | Intel Xeon Silver 4310 (12 cores) | Intel Xeon Gold 6338 (32 cores) |
| RAM | 64 GB DDR4 ECC | 128 GB DDR4 ECC |
| Storage (OS) | 500 GB NVMe SSD | 1 TB NVMe SSD |
| Storage (Data/Logs) | 4 TB HDD (RAID 1) | 8 TB HDD (RAID 10) |
| Network Interface | 1 Gbps Ethernet | 10 Gbps Ethernet |
These specifications are designed to support both the governance tools themselves and the underlying AI models. Consider consulting Capacity Planning Guide for detailed calculations.
Software Stack and Configuration
The software stack is critical for enabling AI Governance features. We utilize a combination of open-source and proprietary tools. All servers will run CentOS 8 with SELinux enforced in Permissive mode initially, transitioning to Enforcing after testing.
Operating System & Baseline Security
- CentOS 8 (or supported equivalent)
- SELinux – Permissive (initial), Enforcing (final) - see SELinux Configuration
- Firewalld – configured with strict rules (see Firewall Ruleset)
- Regular security patching via Automated Patching System
Governance Tools
- **MLflow:** For tracking model experiments, parameters, and results. Configured with a dedicated PostgreSQL database.
- **Prometheus & Grafana:** For monitoring system performance and resource utilization. See Monitoring Dashboard Guide.
- **ELK Stack (Elasticsearch, Logstash, Kibana):** For centralized logging and analysis. Logs are retained for 90 days. See Log Analysis Procedures.
- **Open Policy Agent (OPA):** For enforcing policies related to data access and model deployment. Requires integration with our central identity management system, Active Directory Integration.
Detailed Server Roles & Configurations
We deploy three primary server roles dedicated to AI Governance: Model Registry, Audit Logging, and Policy Enforcement. Each role has specific configuration requirements.
| Server Role | Primary Function | Key Software | Network Ports (Open) |
|---|---|---|---|
| Model Registry | Central repository for AI models and their metadata. | MLflow, PostgreSQL, Python 3.9 | 80, 443, 5432 |
| Audit Logging | Collects and stores logs related to AI model usage, data access, and policy violations. | ELK Stack, Filebeat, Metricbeat | 5601, 9200, 5044 |
| Policy Enforcement | Enforces pre-defined policies regarding data access, model deployment, and usage. | Open Policy Agent (OPA), Rego policy language | 8181 |
The Model Registry server requires careful configuration of the MLflow tracking URI and artifact storage location, as outlined in the MLflow Deployment Guide. The Audit Logging server must be integrated with all AI model deployment pipelines to ensure comprehensive coverage. Policy Enforcement relies heavily on correctly written Rego policies. See Rego Policy Writing Standards.
Scaling and High Availability Considerations
As our AI deployments grow, we must consider scaling the AI Governance infrastructure. The Model Registry and Audit Logging servers are prime candidates for horizontal scaling using a load balancer. The Policy Enforcement server can be scaled by deploying multiple instances behind a reverse proxy. Refer to High Availability Architecture for detailed information on disaster recovery and failover procedures.
Related Documentation
- Data Lineage Tracking
- Model Versioning Control
- Access Control Lists (ACLs)
- Incident Response Plan
- Disaster Recovery 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?
- Telegram: @powervps Servers at a discounted price
⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️