AI in Ewell

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AI in Ewell: Server Configuration Documentation

Welcome to the documentation for the "AI in Ewell" server cluster. This document details the hardware and software configuration for this system, intended for new administrators and those seeking to understand the infrastructure supporting our artificial intelligence initiatives. This cluster is dedicated to running large language models and machine learning workloads, and is critical to the ongoing research conducted in Ewell.

Overview

The “AI in Ewell” server cluster comprises a distributed network of high-performance servers designed for parallel processing. The primary goal of this configuration is to provide the computational power needed for training and deploying complex AI models. The system is housed in a dedicated, climate-controlled server room within the Ewell facility. Redundancy and scalability are key design principles, ensuring high availability and the ability to adapt to future demands. Regular System Backups are performed.

Hardware Configuration

The cluster consists of four primary node types: Master Nodes, Worker Nodes, Storage Nodes, and Network Nodes. Each node type is specifically configured to optimize its respective function. Below are detailed specifications for each.

Master Nodes

Master nodes are responsible for job scheduling, resource management, and overall cluster coordination. They are equipped with powerful processors and ample RAM to handle the overhead of these tasks.

Component Specification
CPU 2 x Intel Xeon Gold 6338 (32 cores/64 threads per CPU)
RAM 256 GB DDR4 ECC Registered 3200MHz
Storage (OS) 1 TB NVMe SSD
Network Interface 2 x 100GbE Network Adapters
Power Supply 2 x 1600W Redundant Power Supplies

Worker Nodes

Worker nodes perform the actual computational work of training and running AI models. They are equipped with high-end GPUs and a large amount of RAM.

Component Specification
CPU 2 x AMD EPYC 7763 (64 cores/128 threads per CPU)
RAM 512 GB DDR4 ECC Registered 3200MHz
GPU 8 x NVIDIA A100 (80GB HBM2e)
Storage (Local) 2 x 4 TB NVMe SSD (RAID 0)
Network Interface 2 x 100GbE Network Adapters

Storage Nodes

Storage nodes provide the persistent storage for datasets, models, and other important data. They utilize a distributed file system for high availability and scalability. See Storage Architecture for details.

Component Specification
CPU 2 x Intel Xeon Silver 4310 (12 cores/24 threads per CPU)
RAM 128 GB DDR4 ECC Registered 3200MHz
Storage 64 x 16 TB SAS HDD (RAID 6) – Total 1 PB usable storage
Network Interface 2 x 40GbE Network Adapters

Software Configuration

The cluster runs a customized Linux distribution based on Ubuntu Server 22.04. The following software components are essential to the operation of the AI in Ewell cluster.

Networking

The network infrastructure is a critical component of the AI in Ewell cluster. A dedicated 100GbE network connects all nodes, providing high bandwidth and low latency communication. A separate 10GbE network is used for management and monitoring traffic. Detailed network diagrams are available in the Network Topology document. We utilize Virtual LANs for segmentation.

Security Considerations

Security is paramount. The cluster is protected by a firewall, intrusion detection system, and regular security audits. Access to the cluster is restricted to authorized personnel only. All data is encrypted both in transit and at rest. Refer to the Security Protocol for detailed information.

Future Expansion

Plans are underway to expand the cluster with additional worker nodes and storage capacity. This expansion will involve upgrading the network infrastructure to 200GbE and implementing a more advanced cooling system. A detailed roadmap for future expansion is documented in the Expansion Plan. The addition of NVLink interconnects is also being considered.

Troubleshooting

Common issues and their solutions are documented in the Troubleshooting Guide. Please consult this guide before contacting support.


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.* ⚠️

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