Server rental store

AI in Fiji

AI in Fiji: Server Configuration and Deployment

Welcome to the guide on setting up servers for Artificial Intelligence (AI) workloads within the Fiji data center. This document details the hardware and software configurations required for a robust and scalable AI infrastructure. This is intended for newcomers to our server environment and assumes basic familiarity with Linux system administration.

Overview

The "AI in Fiji" project aims to provide a platform for researchers and developers to experiment with and deploy AI models. This requires specialized hardware, particularly GPUs, and a carefully configured software stack. This document covers the core server components, network configuration, and software prerequisites. We will focus on a base configuration suitable for both training and inference tasks. See Server_Security_Protocols for important security considerations. Refer to Data_Center_Cooling for information regarding thermal management.

Hardware Specifications

The foundation of our AI infrastructure relies on high-performance servers. The following table details the specifications for the primary AI server nodes:

Component Specification Quantity per Server
CPU Intel Xeon Gold 6338 (32 Cores) 2
RAM 256 GB DDR4 ECC REG 1
GPU NVIDIA A100 80GB 4
Storage (OS) 500GB NVMe SSD 1
Storage (Data) 8TB SAS HDD (RAID 5) 1
Network Interface 100Gbps Ethernet 2
Power Supply 2000W Redundant 2

These servers are interconnected via a high-bandwidth, low-latency network. See Network_Topology_Diagram for a visual representation. Understanding Power_Distribution_Units is crucial for efficient power management.

Network Configuration

The network is designed to facilitate rapid data transfer between servers and external storage. The following table outlines the key network parameters:

Parameter Value
Network Type InfiniBand & Ethernet
IP Address Range 192.168.10.0/24 (Internal AI Network)
Gateway 192.168.10.1
DNS Servers 8.8.8.8, 8.8.4.4
Subnet Mask 255.255.255.0
VLAN ID 100 (AI Network)

Servers utilize both 100Gbps Ethernet for general communication and InfiniBand for inter-GPU communication during distributed training. Refer to Firewall_Configuration for network security rules. Proper DNS_Record_Management is essential for service discovery.

Software Stack

The software stack is built around Ubuntu 20.04 LTS, providing a stable and well-supported base. The following table details the core software components:

Software Version Purpose
Operating System Ubuntu 20.04 LTS Base Operating System
NVIDIA Drivers 535.104.05 GPU Driver
CUDA Toolkit 12.2 Parallel Computing Platform
cuDNN 8.9.2 Deep Neural Network Library
Docker 24.0.5 Containerization Platform
Kubernetes 1.27.4 Container Orchestration
Python 3.9 Programming Language
TensorFlow 2.13.0 Deep Learning Framework
PyTorch 2.0.1 Deep Learning Framework

All AI workloads are containerized using Docker and orchestrated with Kubernetes to ensure scalability and portability. See Docker_Best_Practices for guidance on containerizing applications. Familiarize yourself with Kubernetes_Deployment_Strategies for effective cluster management. We utilize Monitoring_and_Alerting_Systems to track performance. Understanding Log_Management is vital for debugging.

Important Considerations

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

View full article | Back to Server rental store