Read the source behind every number.
Each citation carries its scope and limits, so readers can judge what the source supports. Primary records come first whenever they are available.
A Administrative data, audited record, permit, or rule
B Official estimate, review, or disclosed model
C Forecast or transparent working analysis
Showing 18 of 68 matching sources (68 total in the library)
- Jetson Orin Nano Super developer kit specifications
NVIDIA
- Scope
- One Jetson Orin Nano Super: memory, advertised compute and module power modes
- Limitation
- Manufacturer specifications, not independent application benchmarks. Module power excludes the complete system and power-supply losses.
- Jetson Orin Nano Super performance and precision
NVIDIA
- Scope
- Sparse and dense INT8 throughput for Jetson Orin Nano Super
- Limitation
- Peak throughput depends on precision and sparsity; TOPS does not measure model quality or finished requests per second.
- GB200 NVL72 specifications
NVIDIA
- Scope
- One liquid-cooled rack: 72 GPUs, GPU memory and NVLink interconnect
- Limitation
- Manufacturer system specifications. Aggregated GPU memory is distributed across connected GPUs; it is not one device memory chip.
- GB200 NVL72 rack power and cooling FAQ
NVIDIA
- Scope
- Approximately 120 kW at full load including rack nodes and components
- Limitation
- Rack power is not total facility power and is not directly comparable to a Jetson module power mode.
- Kimi K3 model card
Moonshot AI
- Scope
- Kimi K3: 2.8 trillion total parameters; 104 billion activated per token
- Limitation
- Published model architecture, not independent performance verification. Weight storage is a lower-bound calculation, not a complete hardware budget.
- Gemma 3n model card
Google
- Scope
- Small models intended for low-resource devices; training hardware and limitations
- Limitation
- On-device inference does not imply on-device original training. Model capabilities and deployment requirements vary.
- Gemma 3 technical report
Google DeepMind
- Scope
- Gemma 3 training, knowledge distillation and model family
- Limitation
- A disclosed example of making smaller models, not proof that every edge model uses the same training process.
- Cooling water efficiency opportunities for federal data centers
U.S. Department of Energy
- Scope
- Heat removal, cooling loops and water efficiency in data centers
- Limitation
- A liquid cooling loop does not by itself establish evaporative water consumption or a particular campus water budget.
- Recalibrating global data center energy-use estimates
Masanet et al. / Lawrence Berkeley National Laboratory
- Scope
- Global modeled data-center compute instances and electricity, 2010-2018
- Limitation
- Historical modeled estimates, not a controlled test of efficiency-induced demand or a forecast for AI.
- 2025 Form 10-K: property and equipment
Meta
- Scope
- Company accounting useful lives for servers, network assets and buildings
- Limitation
- Depreciation assumptions are neither mandatory replacement schedules nor guarantees of physical or economic life.
- 2025 Form 10-K: property, impairment and retirement obligations
Equinix
- Scope
- One operator portfolio; facility impairment, asset lives and restoration obligations
- Limitation
- Company-specific evidence that sites can underperform. It does not estimate Peosta vacancy risk or guarantee reuse.
- Data Center Ordinance, section 83-18: decommissioning
East Manchester Township, Pennsylvania
- Scope
- Local decommissioning plans and financial security for data centers
- Limitation
- A Pennsylvania example, not Iowa law or evidence that Peosta has adopted these protections.
- Peosta Energy and Data Campus: discussion materials
City of Peosta / project concept
- Scope
- August 2026 preliminary campus and on-site generation concept posted by the city
- Limitation
- Developer discussion estimates, not approved capacity, metered demand, an executed tenant lease or an independently verified operating plan.
- United States Data Center Energy Usage Report: 2025 Update
Lawrence Berkeley National Laboratory
- Scope
- United States; history through 2024 and scenarios through 2030
- Limitation
- A bottom-up historical estimate and scenario forecast. The forecast does not model future grid-supply constraints or departures from announced demand.
- 2024 United States Data Center Energy Usage Report
Lawrence Berkeley National Laboratory
- Scope
- United States; historical estimates through 2023 and scenarios through 2028
- Limitation
- Modeled national estimates with limited facility-level public data. Location-based emissions and indirect water do not include facility-specific contracts or behind-the-meter supply.
- Electricity Rate Designs for Large Loads: 2026 Update
Lawrence Berkeley National Laboratory
- Scope
- 55 U.S. large-load tariffs available through 2026
- Limitation
- The survey covers 55 published large-load tariffs. It cannot show that any one design will eliminate every cross-subsidy or forecast error.
- FERC large-load integration show-cause orders
Federal Energy Regulatory Commission
- Scope
- All six U.S. regional transmission organizations and independent system operators
- Limitation
- Show-cause orders begin a federal process; they do not establish a final national interconnection rule or determine one project's reliability effect.
- Data Centers in Virginia
Virginia Joint Legislative Audit and Review Commission
- Scope
- Virginia, primarily FY2021–FY2023, with selected forecasts
- Limitation
- Virginia-specific. Several values are stakeholder estimates or model outputs, and future utility-cost scenarios are explicitly uncertain.