Stack pages
Six Layers and Four Systems
Each Stack page covers one layer or one system that runs through all of them, with a flagship site. Chip manufacturing is covered at SemiconductorX.
| Page | Flagship | Covers |
|---|---|---|
| Chip Layer | Nvidia Vera Rubin | Accelerator platforms; chip making at SemiconductorX |
| Server Layer | GB200 NVL72 supplier ring | Who builds AI servers |
| Rack Layer | First Vera Rubin NVL72 at CoreWeave | 135-600 kW racks, 800 VDC |
| Cluster Layer | AWS Project Rainier | Scale-up, scale-out, scale-across |
| Network and Fabrics | Nvidia Spectrum-X | NVLink, Ethernet, InfiniBand, optics |
| Power Distribution | Microsoft Fairwater Atlanta | Substation to chip; buffering training swings |
| Facility Layer | Microsoft Fairwater Wisconsin | Shells, floors, fire and security |
| Campus Layer | Meta Hyperion | Gigawatt campuses and their power |
| Software Stack | Nvidia AI Factory Research Center | Building systems to model hub |
| Cooling | Six cooling pages | Air, liquid, immersion, heat rejection, water |
Shift
The Rack Became the Unit of Compute
- Density: AI racks went from about 40 kW to 135-230 kW in two years and reach about 600 kW in 2027, while the typical enterprise rack is still about 11 kW.
- Power: that density forces 800 VDC and ±400 VDC distribution, liquid cooling, reinforced floors and buildings where support gear takes more space than racks.
- Scale: clusters of half a million accelerators span several buildings, and training now runs across sites hundreds of miles apart.
- Software: Nvidia now owns a leading product at most software layers, from the facility digital twin to the scheduler.
Record
Dataset Record
- Dataset
- Index of data center stack layers and systems with flagships; data on each linked page
- Sources
- Listed on each Stack page
- Last verified
- October 2026