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AI in Iceland

```wiki #REDIRECT AI in Iceland

AI in Iceland: Server Configuration and Infrastructure Overview

This article details the server configuration and infrastructure supporting Artificial Intelligence (AI) initiatives in Iceland. Iceland’s unique geographical advantages – abundant renewable energy, a cool climate, and reliable network connectivity – make it an increasingly attractive location for data centers and AI computation. This guide is intended for newcomers to our MediaWiki site and provides a technical overview of the core systems. We will cover hardware, networking, cooling, and power considerations. Please also review our Data Center Security Protocol and Network Topology Documentation for related information.

Hardware Infrastructure

The primary AI compute resources are housed in several geographically distributed data centers across Iceland. The choice of hardware is driven by the need for high performance, energy efficiency, and scalability. The majority of deployments utilize GPU-accelerated servers, with a growing adoption of specialized AI accelerators. See also Hardware Procurement Guidelines.

Server Component Specification Quantity (approx.)
CPU AMD EPYC 7763 (64-core) 500+
GPU NVIDIA A100 (80GB) 800+
RAM 512GB DDR4 ECC REG 1000+
Storage (Boot) 1TB NVMe SSD 500+
Storage (Data) 4PB NVMe SSD (RAID 0) 20+
Network Interface 200GbE Mellanox ConnectX-6 1000+

These servers are interconnected using a high-bandwidth, low-latency network fabric, detailed in the next section. Regular hardware audits are performed, documented in the Hardware Inventory System.

Network Configuration

The network infrastructure is designed for minimal latency and maximum throughput, critical for distributed AI training and inference. The core network utilizes a Clos network topology for scalability and redundancy. We employ a combination of 100GbE and 200GbE connections, with plans to upgrade to 400GbE in the near future. Refer to the Network Bandwidth Allocation Policy for details on resource management.

Network Component Specification Quantity
Core Routers Cisco ASR 9912 4
Distribution Switches Arista 7050X 20+
Top-of-Rack Switches Arista 7060X 100+
Interconnect Speed 200GbE Predominant
Network Protocol TCP/IP, RDMA over Converged Ethernet (RoCEv2) Primary

Network monitoring is performed using Prometheus and Grafana, with alerts configured for performance degradation or outages. Detailed network diagrams are available in the Network Topology Documentation. Firewall rules are managed by the Security Operations Team.

Cooling and Power Infrastructure

Iceland's cool climate significantly reduces the energy required for cooling, making it a cost-effective location for data centers. We leverage both air cooling and direct-to-chip liquid cooling solutions. Power is sourced entirely from renewable sources – geothermal and hydroelectric. A comprehensive power redundancy system ensures uninterrupted operation. See also Power Usage Effectiveness (PUE) Monitoring.

Infrastructure Component Specification Details
Cooling System Direct-to-Chip Liquid Cooling & Air Cooling Liquid cooling used for high-density GPU servers.
Power Source 100% Renewable (Geothermal & Hydroelectric) Contracted with Landsvirkjun.
Power Redundancy N+1 Redundancy Multiple independent power feeds and UPS systems.
PUE (Power Usage Effectiveness) 1.15 (Average) Continuously monitored and optimized.
Temperature Control 18-22°C Maintained within optimal operating range for hardware.

Regular maintenance of the cooling and power systems is crucial, and is documented in the Maintenance Log. Our commitment to sustainability is outlined in the Environmental Impact Statement.

Software Stack

The primary software stack for AI development and deployment includes:

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

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