xAI Colossus Hits 2 GW: 555,000 GPUs, $18B, Largest AI Site
Musk's xAI purchases third Memphis building for 2 GW total capacity. 555,000 NVIDIA GPUs at $18B makes Colossus the world's largest AI training facility.
Data Center Infrastructure
Facility design, power systems, cooling technologies, and operational best practices for AI-ready data centers.
AI workloads have fundamentally changed what data centers need to deliver. 100kW+ racks, direct-to-chip liquid cooling, and megawatt-scale power feeds are no longer edge cases—they're requirements for competitive AI infrastructure.
This hub covers the facilities side of AI deployment: from brownfield retrofits to purpose-built GPU factories, and everything in between.
Key Topics
- Cooling Technologies — Air vs. rear-door heat exchangers vs. direct-to-chip liquid cooling: matching thermal solutions to rack densities
- Power Architecture — PDU design, busway distribution, and UPS considerations for high-density GPU deployments
- Colocation Selection — What to look for in AI-ready colo facilities: power availability, cooling capacity, and expansion flexibility
- Facility Design — Purpose-built AI data centers: layout optimization, structural requirements, and future-proofing strategies
- Operational Excellence — Monitoring, maintenance, and optimization practices that maximize uptime and efficiency
The facility decisions you make today will constrain—or enable—your AI capabilities for the next decade. Our infrastructure coverage helps you design and operate data centers that can evolve with the demands of AI.
Essential Reading
All Data Center Infrastructure Articles (19)
FERC Lets Data Centers Plug Directly Into Power Plants
Federal regulators clear the way for AI facilities to bypass the grid and connect straight to nuclear and gas plants. Here's what changes.
Liquid Cooling Hits Mainstream: 2025 Marks the Tipping Point for AI Infrastructure
Liquid cooling transitions from bleeding-edge to baseline as GPU power densities make air cooling insufficient.
40-250kW Per Rack: Extreme Density Data Center Solutions
Modern AI demands 40-250kW per rack while traditional cooling fails at 15kW. Learn engineering solutions for extreme density infrastructure deployment.
NVIDIA Vera Rubin breaks the GPU mold with 600-kilowatt racks and million-token memories
NVIDIA Vera Rubin pushes data centers to 600kW racks by 2027, delivering 7.5x performance gains while demanding complete infrastructure transformation.
OpenAI’s Stargate: A $500 Billion Joint Venture Powering Tomorrow’s AI
OpenAI's Stargate, a $500B joint venture with SoftBank, Oracle, and MGX, is building the world's largest AI infrastructure network to power tomorrow's artificial intelligence revolution.
Introl Ranks #14 on 2025 Inc. 5000 with 9,594% Growth
Introl ranks #14 on Inc. 5000 with 9,594% growth, becoming America's fastest-growing GPU infrastructure specialist powering the AI revolution.
India's GPU Infrastructure Revolution: From 80,000 GPUs to $100 Billion Investment
India deploys 80,000+ GPUs with $100B investment pipeline by 2027, achieving 34.4% CAGR as Asia's fastest-growing AI infrastructure market.
Liquid Cooling vs Air: The 50kW GPU Rack Guide (2025)
GPU racks hit 50kW thermal limits. Liquid cooling delivers 21% energy savings, 40% cost reduction. Essential guide for AI infrastructure teams facing the wall.
How Isambard-AI Deployed 5,448 GPUs in 4 Months: The New Blueprint for AI Infrastructure
Isambard-AI's record-breaking deployment of 5,448 NVIDIA GPUs reveals why modern AI infrastructure demands specialized expertise in liquid cooling, high-density power, and complex networking.
Why AI Data Centers Look Nothing Like They Did Two Years Ago
NVIDIA's power smoothing cuts grid demand 30%. Liquid cooling handles 1,600W GPUs. Smart companies see 350% ROI while others face 80% failure rates.
Grok 4 Just Shattered the AI Ceiling—Here's Why That Changes Everything
xAI's Grok 4 achieves unprecedented benchmark scores with its 200,000-GPU infrastructure, doubling competitors' performance on critical reasoning tests. The model's unique multi-agent approach and int...