Project Basics

Infrastructure Overview

Global Data Center Network#

Europe#

Primary locations: Germany and Finland. Total capacity: 1,920 GPU nodes. Active clusters: 52. Average utilization: 85%.

Key features:

  • GDPR-compliant data handling
  • Advanced energy efficiency standards
  • Strategic position for EU clients
  • Tier III and Tier IV certified facilities

Asia-Pacific#

Primary locations: Singapore, South Korea, and Japan. Total capacity: 1,560 GPU nodes. Active clusters: 43. Average utilization: 91%.

Key features:

  • Gateway to the Asian AI market
  • High-speed regional connectivity
  • Growing demand from local startups
  • 24/7 operations across time zones

Hardware Standards#

NVIDIA A100 Series#

  • A100 40GB: Proven for AI training and inference
  • A100 80GB: Designed for large model training and high-memory workloads
  • Configuration: Single, dual, or quad-GPU setups
  • Use cases: LLM training, computer vision, and NLP

NVIDIA RTX 6000 Ada Generation#

  • Professional visualization GPU
  • Strong fit for rendering and hybrid AI workloads
  • Ray tracing capabilities for 3D studios
  • Use cases: Video rendering, real-time graphics, and simulation

NVIDIA H100 Series#

  • Latest-generation data center GPU
  • Up to 3× performance improvement over A100
  • Optimized for transformer models and large-scale AI workloads
  • Use cases: Large language models, recommendation systems, and high-frequency inference

Multi-GPU interconnect enabling:

  • Distributed training across 2 to 8 GPUs
  • Higher bandwidth than PCIe
  • Reduced training time for large models
  • Enterprise-grade reliability

Cooling & Power#

Liquid cooling on Ultimate tier clusters. PUE (Power Usage Effectiveness) below 1.4 where possible. Redundant power supplies with UPS backup. 99.9% uptime SLA targets.

Operational Standards#

24/7 monitoring and maintenance. Automated failover systems. Regular hardware health checks. Proactive component replacement. Real-time alerting and response.