Cutting your electric bill by 79% doesn't just save money. Every kilowatt-hour eliminated cascades into six measurable co-benefits — water conservation, emissions reduction, grid infrastructure relief, avoided solar capital, avoided battery storage, and eliminated peak demand charges. They're all proportional to the energy savings, calculable in advance, and independently auditable.
Cooling water consumption drops in direct proportion to IT load and facility energy reduction.
CO₂ and CO₂e reductions calculated directly from kWh eliminated at US grid carbon intensity.
Reduced datacenter load directly lowers transmission, substation, and distribution capacity requirements.
Datacenter cooling is one of the most water-intensive industrial processes in the United States. Water is consumed in three ways: direct on-site cooling (evaporative towers and chillers), water used to generate the electricity that powers the facility, and water embedded in hardware supply chains.
Under specified tested conditions, ConserveMode™ has demonstrated ~79%+ total facility energy reduction. Results vary by workload, hardware, utilization, energy rate, telemetry access, PUE, cooling configuration, and deployment configuration. Since water consumption tracks energy consumption nearly 1:1 through the WUE metric (Water Usage Effectiveness — the industry standard for how many liters of water a data center uses per kilowatt-hour of IT energy), the water savings are proportional.
| Facility Size | Water Saved/yr | Gallons Equiv. |
|---|---|---|
| 100 nodes | ~872K liters | ~230K gal |
| 500 nodes | ~4M liters | ~1.2M gal |
| 1,000 nodes | ~9M liters | ~2.3M gal |
| 5,000 nodes | ~44M liters | ~11.5M gal |
Assumes enterprise GPU node baseline, 8,760 hr/yr, WUE 1.8 L/kWh, 79%+ total facility energy reduction under specified tested conditions. Results vary by facility profile. Indirect Scope 2 water not included above.
Comparison: A medium-sized datacenter can use up to 110 million gallons of water per year for cooling. A 500-node deployment saving 1.2M gallons/year represents the annual water use of approximately 11 U.S. households.
US datacenters emit an average of 548 gCO₂e (grams of CO₂-equivalent — the standard unit for measuring total greenhouse gas emissions) per kWh consumed — 43% higher than the national grid average of 384 gCO₂/kWh — because they are disproportionately located in carbon-intensive grid regions (Virginia, Texas) where 56% of electricity comes from fossil fuels.
Every kWh ConserveMode™ eliminates removes emissions at this elevated rate. Under specified tested conditions, the ~79%+ total facility reduction translates into a ~79%+ CO₂e reduction. Results vary by facility profile.
| Facility Size | CO₂e Saved/yr | Car Equivalent |
|---|---|---|
| 100 nodes | ~265 MT CO₂e | ~58 cars off road |
| 500 nodes | ~1,327 MT CO₂e | ~288 cars off road |
| 1,000 nodes | ~2,654 MT CO₂e | ~577 cars off road |
| 5,000 nodes | ~13,270 MT CO₂e | ~2,885 cars off road |
Calculated using 548 gCO₂e/kWh datacenter average, enterprise GPU node baseline, 8,760 hr/yr, 79%+ facility reduction under specified tested conditions. Results vary by facility profile. Car equivalent at 4.6 MT CO₂/year per EPA average passenger vehicle.
GHG Protocol Scope 2: IPMVP-verified energy reductions may support Scope 2 emissions reporting. Environmental attributes, carbon-reduction claims, and related reporting rights are addressed by contract and depend on applicable program rules and verification methodology.
Datacenters are driving the fastest load growth the US grid has seen in decades. In 2024, utilities in just seven PJM states passed $14–16 billion in transmission and substation connection costs directly onto ratepayers — costs triggered entirely by new datacenter connections.
Every megawatt that ConserveMode™ eliminates from a datacenter's peak demand is a megawatt that does not need to be served by new transmission lines, upgraded substations, or additional generation capacity. The grid benefits are real, measurable, and politically significant.
California DVBE advantage: California grid operators and utilities face acute infrastructure pressure from datacenter load growth. A DVBE-certified energy efficiency contractor delivering verified load reduction has a compelling procurement story directly tied to grid reliability goals and ratepayer protection policy.
California rate $0.27/kWh · Enterprise GPU baseline · 79%+ total facility reduction under specified tested conditions · Results vary by workload, hardware, utilization, energy rate, PUE, cooling, and deployment configuration
| Benefit Category | Annual Reduction | Mechanism | Verifiable Via |
|---|---|---|---|
| ⚡ Energy | 79%+ | 3-layer ConserveMode™ system | IPMVP Option B M&V |
| 💧 Water (on-site) | ~9M L/yr | 1.8 L/kWh WUE × energy reduction | Water utility metering |
| 🌿 CO₂e Emissions | ~2,654 MT/yr | 548 gCO₂e/kWh × kWh reduced | GHG Protocol Scope 2 |
| ⚡ Grid T&D Losses | ~5% addl | 5% T&D loss on every kWh eliminated | EIA standard factors |
| 💰 Ratepayer Savings | $5.2B/yr | Verified facility load reduction passed to ratepayers | Utility tariff analysis |
| 🏗 Infrastructure Deferral | $25–100M | Substation/transmission avoided per MW reduced | Utility avoided cost study |
Every kWh ConserveMode™ eliminates is a kWh that doesn't need to be generated — or offset by solar. Before you size a solar array, eliminate the load. The panels you don't buy are the cheapest panels you'll ever own.
For facilities under net-zero mandates, ConserveMode™ reduces the solar capacity required to reach the target — directly cutting capital cost, roof or land requirements, and interconnection queue wait times.
The math: At $1–3/watt installed, every 100kW of peak demand eliminated by ConserveMode™ avoids $100K–$300K in solar capital. For a 500-node facility, that can represent $500K–$2M+ in avoided solar infrastructure — before maintenance and replacement cycles.
ConserveMode™ can eliminate the daily peak demand event entirely. Peak demand charges alone can represent 30–50% of a commercial electricity bill — utilities charge a premium for the highest demand interval of the month, regardless of how briefly it occurs. Eliminating that peak is worth more than the kWh it represents.
Battery storage costs a fortune — $300–600/kWh at utility scale, $800–1,500/kWh for behind-the-meter commercial systems, with a replacement cycle every 10–15 years. Every kW of peak demand ConserveMode™ eliminates is a kW of battery capacity that never needs to be purchased, installed, or maintained. Reduce the load first. Size the battery for what remains.
Combined effect: ConserveMode™ reduces the load. A smaller solar array offsets that load. A smaller battery bank smooths it. All three capital costs drop simultaneously — driven by a single software deployment with no hardware changes.
ConserveMode™ reduces the load at the device level. The next layer — covered by pending patent applications and ready — moves that reduced load geographically to the cheapest energy market in the world during peak times.
Compute is the only electricity load that can move geographically in an instant. A facility running AI workloads at peak grid demand can route those workloads to a facility where renewable generation is in surplus. The compute moves. The demand moves with it. The savings follow.
No regulatory approval. No utility contract. Moving mathematics across borders requires none of the permissions that moving electrons does.
The full stack: ConserveMode™ eliminates waste at the device. Compute swap routes remaining load to the cheapest, cleanest market. Together they represent the first instantaneous, globally scalable, unregulated demand response system in history — grid decarbonization through physics, not policy.