AI in Denmark
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- AI in Denmark: A Server Configuration Overview
This article details the server configuration supporting Artificial Intelligence (AI) initiatives within Denmark. It's geared towards newcomers to our MediaWiki platform and provides a technical deep dive into the infrastructure. This infrastructure is designed to support a variety of AI workloads, from machine learning model training to real-time inference. This document covers hardware specifications, software stack, and networking considerations. It is important to note that this configuration is regularly updated; please check the System Updates page for the latest revisions.
Overview
Denmark has become a burgeoning hub for AI research and development, necessitating a robust and scalable server infrastructure. This infrastructure is primarily housed in several geographically diverse data centers to ensure redundancy and minimize latency. Key focus areas include Natural Language Processing, Computer Vision, and Predictive Analytics. The current infrastructure is designed around a hybrid cloud model, leveraging both on-premise resources and cloud services like Amazon Web Services and Microsoft Azure. This allows for flexibility and cost optimization. The system is monitored continuously by the System Monitoring Team.
Hardware Specifications
The core of the AI infrastructure consists of high-performance servers optimized for computationally intensive tasks. These servers utilize a combination of CPUs, GPUs, and specialized AI accelerators.
| Component | Specification | Quantity |
|---|---|---|
| CPU | Intel Xeon Platinum 8380 (40 cores, 80 threads) | 128 |
| GPU | NVIDIA A100 80GB | 256 |
| Memory (RAM) | 512GB DDR4 ECC Registered | 128 |
| Storage (SSD) | 8TB NVMe PCIe Gen4 | 512 |
| Network Interface | 200Gbps InfiniBand | 128 |
These servers are interconnected via a high-speed, low-latency network, critical for distributed training and data transfer. See the Networking Documentation for details. The storage infrastructure utilizes a parallel file system, Lustre, to provide high throughput and scalability. Regular Hardware Audits are performed to maintain optimal performance.
Software Stack
The software stack is built around a Linux operating system, specifically Ubuntu Server 22.04 LTS. This provides a stable and well-supported platform for the AI software.
| Software | Version | Purpose |
|---|---|---|
| Operating System | Ubuntu Server 22.04 LTS | Base OS |
| CUDA Toolkit | 12.2 | GPU Programming |
| cuDNN | 8.9.2 | Deep Neural Network Library |
| TensorFlow | 2.13.0 | Machine Learning Framework |
| PyTorch | 2.0.1 | Machine Learning Framework |
| Docker | 24.0.5 | Containerization |
| Kubernetes | 1.27 | Container Orchestration |
Containerization with Docker and orchestration with Kubernetes are essential for managing and deploying AI models. A centralized model registry, built on MLflow, is used to track and version models. All software updates are managed through the Software Deployment Pipeline.
Networking Configuration
The network infrastructure is designed to handle the massive data transfer requirements of AI workloads. It utilizes a spine-leaf architecture with 200Gbps InfiniBand interconnects between servers.
| Network Component | Specification | Quantity |
|---|---|---|
| Spine Switches | Arista 7050X Series | 4 |
| Leaf Switches | Arista 7280E Series | 32 |
| Interconnect | 200Gbps InfiniBand | N/A |
| Firewall | Palo Alto Networks PA-820 | 2 |
| Load Balancer | HAProxy | 4 |
A dedicated virtual network is used for AI traffic, isolated from other network segments for security and performance. Detailed network diagrams can be found on the Network Topology Page. The network is monitored by the Network Monitoring System. All network changes require approval from the Change Management Board.
Security Considerations
Security is paramount. Access to the AI infrastructure is strictly controlled through role-based access control (RBAC). All data is encrypted at rest and in transit. Regular security audits are conducted to identify and remediate vulnerabilities. See the Security Policy Document for more details. The system adheres to the principles of Data Privacy.
Future Expansion
Plans are underway to expand the AI infrastructure with the addition of more GPU servers and increased storage capacity. We are also investigating the use of new AI accelerators, such as Google TPUs. The long-term vision is to create a world-class AI platform that supports cutting-edge research and innovation in Denmark.
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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.* ⚠️