Stargate is racing to 7 GW across five new sites. Meta's 5 GW Hyperion in Louisiana spans 11 buildings. xAI's Colossus 2 is targeting 1 million GPUs. Microsoft Fairwater is projected past $100 B. The bottleneck is no longer money or chips — it’s power, grid interconnects, and gas-turbine wait times. This hub is everything we know about the build-out: a 12-lesson technical curriculum, a 205-term glossary, hands-on calculators, named-campus case studies, and live news from the people actually building it.
Auto-generated from the Lab’s knowledge graph. Findings are produced every 12 hours by our agentic research pipeline.
Claude Code (23 mentions/7d) and GPT-5 (4 mentions/7d) are unconnected pairs, but Anthropic & OpenAI have 265 shared articles. This is non-obvious because the surface narrative is about model quality, but the real battle…
Hardware/technology terms with most DC-article mentions, last 7 days. 1. H200 — 3 mentions 2. B200 — 2 mentions 3. H100 — 1 mentions 4. Cerebras WSE-3 — 1 mentions
Stories that moved the graph
From "what's a rack" to "design a 100MW AI campus" — learn at your own pace.
What a data center actually is, the four-layer Tier classification (Uptime Institute), the components inside a single rack, and why AI changed everything.
From the utility substation to the chip: high-voltage interconnects, UPS systems, generators, PDUs, and the 100MW+ scale that AI demands.
Air, liquid, immersion. CRAC vs CDU, direct-liquid cooling for GPUs, PUE/WUE math, and why every modern AI rack is liquid-cooled.
NVIDIA H100/H200/B200/GB200 NVL72, AMD MI300X, Google TPU v5p, AWS Trainium2, Cerebras WSE-3. Real specs, real interconnects.
InfiniBand vs Ethernet (Ultra Ethernet Consortium), NVLink/NVSwitch, optical transceivers, CLOS topology, and rail-optimized layouts.
Parallel filesystems (Lustre, WekaFS, VAST), NVMe-oF, checkpoint strategies, and how 100k-GPU clusters move 100GB/s.
SLURM vs Kubernetes for AI, Run.AI, NVIDIA Base Command, gang scheduling, fault tolerance, and the orchestration stack on top of bare metal.
Site selection, permitting, 18-36 month construction timelines, vendor selection, and the realistic capex of a 100MW AI campus.
DCIM, BMS, capacity planning, incident response, the day-to-day of running a critical facility at 99.99% uptime.
PUE/WUE/CUE, hyperscaler net-zero pledges, geothermal partnerships, heat reuse for district heating, water positivity.
$/MW capex, opex breakdown, neocloud business models (CoreWeave, Lambda, Crusoe), depreciation cycles, and why CapEx is exploding.
Roles, salaries, certifications (Uptime Institute CDCP/CDCS/CDCE, BICSI RCDD), training programs, and the career ladder.
Refreshed every 12h by the Living Agent — analyzing fresh DC news for operator velocity, tech trends, and weekly shifts. Last updated 11h ago.
📝 What changed this week
🚀 Trending hardware/tech
Curated by an autonomous agent reading live RSS + entity mentions. Rankings reflect actual coverage frequency, not editorial choice.
Filtered for substance: hardware specs, topology, MW, MFU. Press fluff demoted.
Japan and Nvidia announced a 140MW AI factory with 27,500 Rubin GPUs. The $2B+ state-backed facility will train open models for robotics under FRONTia.
Crusoe and Lancium announced a 1.0 GW AI data center campus in Texas, using gas-powered modules and grid-balancing software to bypass interconnection queues.
Amazon introduced RNG network topology using random graphs instead of fat trees for AI training clusters. No performance data published yet.
New York pauses permits for data centers over 50 MW for one year — first U.S. state ban on AI data centers. GEIS will set standards for grid, water, and community impacts.
Supermicro CBO says double-wide racks and liquid cooling are standard for AMD Helios and NVIDIA Vera Rubin, and storage is now the main AI bottleneck.
Nvidia cut authorized Asia customers by half, sending inspectors to data centers. Move follows US pressure to curb AI chip smuggling of H100/Blackwell.
Hyperscalers, neoclouds, and colocation providers powering frontier AI.
| Operator | Type | Power (MW) | Notable Site | Specialty |
|---|---|---|---|---|
| Microsoft Azure | Hyperscaler | 5,000 | Fairwater, WI · projected $100B+ build | OpenAI compute partner · GB200 at scale |
| Google Cloud | Hyperscaler | 4,500 | Council Bluffs, IA · The Dalles, OR · Kronstorf, AT | TPU pods + Gemini training · 5GW Anthropic deal |
| Amazon AWS | Hyperscaler | 4,000 | Project Rainier, New Carlisle IN · 2.2 GW | Trainium2/3 powering Anthropic |
| Meta | Hyperscaler | 5,000 | Hyperion, Richland Parish LA · 5 GW · 11 buildings | Llama + MTIA · Prometheus, Ohio coming May 2026 |
| OpenAI / Stargate | Hyperscaler | 7,000 | Abilene, TX · 1.2 GW by mid-2026 · 5 new sites announced | Oracle + SoftBank · 10 GW by 2027 · ~$400B committed |
| xAI / SpaceX | Hyperscaler | 1,600 | Colossus 2, Memphis TN · 550K-1M GPUs · Colossus 1 leased to Anthropic | Grok training · Vera Rubin roadmap |
| Anthropic | Hyperscaler | 5,300 | Project Rainier (AWS) · Colossus 1 (SpaceX) · Fluidstack | Multi-vendor compute · 5 stacked deals |
| CoreWeave | Neocloud | 1,300 | Plano, TX · multiple sites | GPU-as-a-service, NVIDIA partner |
| Equinix | Colocation | 1,500 | Global · 260+ data centers | Interconnection + colo |
| Digital Realty | Colocation | 2,700 | Global · 300+ data centers | Wholesale + hyperscale colo |
| Lambda | Neocloud | 200 | Allen, TX · expanding | GPU cloud, on-demand H100/H200 |
| Crusoe Energy | Neocloud | 1,200 | Abilene, TX (Stargate Phase 1) | Stranded-gas powered AI infra |
MW figures are publicly disclosed AI-dedicated capacity, current or planned. Updated continuously from press releases, permit filings, and infrastructure analysis.
Top 8 DC operators by mention growth this week. Sourced from the Compute Lab brief.
The Data Center Designer simulator. Pick scale (1 MW → 2.5 GW), GPU (H100 / B200 / GB200 NVL72 / MI300X / TPU / Trainium), cooling, location, tier — see the real capex, opex, PUE, training throughput, build timeline, and CO₂ math your design produces. Six presets matched to real projects (Stargate, Hyperion, Project Rainier).
Deep dives on the real gigawatt-scale projects — verified specs, cited sources, strategic analysis.
Every tool is interactive, browser-only, no signup. Built to teach by doing.
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Pick scale + GPU + cooling + location. See live capex/opex/PUE.
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20 cities. Real climate data. Realistic PUE/WUE/CUE.
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Train Llama-405B in 90 days. Can you fit it?
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3 AM page. Coolant leak. What do you do?
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Power vs cooling vs space — find the bottleneck.
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H100 vs B200 vs MI300X vs Trainium2 — real specs.
We have tailored reading paths for 4 audiences. Pick yours.
From PUE to NVLink — the vocabulary you need to read any data center paper.
Total facility power ÷ IT equipment power. 1.0 = perfect, 1.10 = hyperscale, 1.5+ = enterprise.
Coolant flows through cold plates touching the chip. Required for Blackwell-class racks above 70kW.
5th gen on Blackwell: 1.8 TB/s bidirectional per GPU. Connects GPUs into a single-memory domain.
NDR = 400 Gbps, XDR = 800 Gbps per port. Dominates scale-out networks for AI training.
Stacked DRAM next to the GPU die. H100 = HBM3 (3.35 TB/s), B200 = HBM3e (8 TB/s).
% of theoretical peak FLOPs your training run actually achieves. 50%+ is great.
Heat exchanger between the rack's liquid loop and the facility loop. Sits at row or rack level.
Fault-tolerant: every component is redundant + concurrently maintainable. 99.995% uptime target.
72 B200 GPUs + 36 Grace CPUs in one liquid-cooled rack. ~120 kW. 1.4 EFLOPS FP4.
Real-world courses and certifications used by the people building the largest AI clusters on Earth.
The de-facto entry credential for data center facilities. EXIN-accredited, valid 3 years. 40-question exam (27/40 to pass). Delivered in 50+ countries via partners.
The credential for designing Tier-rated facilities. PE licence (or equivalent) required. What hyperscalers and MEP firms actually look for.
CUDA, multi-node training, NCCL, Base Command. Paid courses include live GPU labs. Maps to NCA-AIIO ($125) and NCP-AII ($400) certifications.
BICSI's data-center–specific design credential. 100 questions, drag-and-drop + multiple choice. Requires RCDD or 3 years DC experience. Pearson VUE delivered.
200+ vendor-neutral modules on power, cooling, racks, design, sustainability. CPD-accredited. Optional DCCA (Data Center Certified Associate) exam.
Official learning platform for Open Compute Project specs. Modules include 'Open Systems for AI' (6-part series), Open Rack ORv3, and OCP-Recognized Equipment.
Compute Lab is the steel. Click through to see what runs on it.
Weekly: only the technical news that matters. New papers, MW build-outs, topology decisions, hardware drops.