Adaptive Power Technology — Verified Results

Stop Paying for Energy
Your Datacenter Wastes

ConserveMode™ delivers three independently verifiable layers of energy reduction in AI and enterprise datacenters. No single headline number — just math you can audit.

89%
Idle State Reduction
87%
Inference Reduction
~51%
Total Facility Savings
$0
Upfront Cost

Three Layers. Each Independently Measurable.

Most efficiency solutions claim a single number. ConserveMode™ shows you exactly where every percentage point of savings comes from.

Layer 1
89%
Idle State Management
Predictive power scheduling drops GPUs from hot-idle (600–700W) to deep dormant state (75W) between workloads. The system knows when the next job arrives — zero latency impact.
700W → 75W per node · Validated on RunPod H200 across 31 regions
Layer 2
87%
Inference Request Savings
66.6% of inference requests are cache hits requiring 0W of GPU compute. Remaining requests route to minimum-capable models. Like broadcast TV — compute once, deliver to all.
650W → 86W weighted avg · V2.0 semantic cache formula
Layer 3
~51%
Total Facility Savings
IT equipment is 40–60% of total datacenter energy. Reducing IT load dramatically also reduces cooling — enterprise facilities spend 30%+ on cooling vs. 7% at hyperscale.
Whole-facility average · 80% cache hit rate · Enterprise PUE 1.6

Why three layers? A chip running workloads 40–60% of the time can't achieve 80–90% savings through idle management alone. The magic is that ConserveMode™ redefines what a workload is — 66.6% of inference requests never touch the GPU at all. Each layer is independently auditable.

The V2.0 Inference Formula

With a mixed enterprise workload, semantic caching eliminates GPU compute for 66.6% of all requests. ML routing handles the rest with minimum-capable models.

Result: Weighted average power = 86W vs. 650W traditional baseline = 87% reduction

Full Technical Detail →
Request Type% of RequestsGPU PowerContribution
Exact cache hit51.4%0W0W
Semantic cache hit15.2%0W0W
Miss → small model (7B)26.0%200W52W avg
Miss → medium model (13B)5.0%350W18W avg
Miss → large model (70B)2.3%700W16W avg
Weighted Average100%86W87% saved

Calculate Your Savings

Based on California commercial rate of $0.27/kWh. Adjust for your facility.

500
$0.27
Layer 1 Savings/yr
89% idle reduction
Layer 2 Savings/yr
87% inference reduction
Total Facility/yr
~51% facility reduction
Your share (80% of facility savings)
GTC fee (20%)

Zero Risk.
Savings-Funded.

GTC charges 20% of verified savings only — after savings are confirmed via IPMVP-compliant measurement and verification. No upfront cost, no hardware changes, no risk.

No upfront cost

Payment only from confirmed savings

No hardware changes

Software-only deployment on existing infrastructure

IPMVP-compliant M&V

Federal ESPC-ready measurement and verification

You keep 80%

From day one of verified operation

See Pricing Details →

California DVBE Advantage

Green Tech Coast Inc. holds California Disabled Veteran Business Enterprise (DVBE) certification — providing procurement preferences for state and federal energy efficiency contracts.

ESPC Contract Structure

Term 5–15 years
GTC share 20% of savings
Your share 80% from day 1
M&V standard IPMVP Option B
Hardware required None

Three Co-Benefits With Every Deployment

Every kWh eliminated also removes water consumption, carbon emissions, and electrical grid infrastructure demand.

💧

Water Reduction

Industry WUE of 1.8 L/kWh means a ~51% energy reduction removes millions of liters of cooling water annually.

~51%
on-site water consumption reduction
🌿

CO₂ Emissions

Datacenters emit 548 gCO₂e/kWh — 48% above national average. Verified reductions = direct GHG Protocol Scope 2 credits.

548 g
CO₂e eliminated per kWh saved

Grid Infrastructure Relief

Reduced peak load defers substation and transmission upgrades — $25–100M per MW in avoided grid infrastructure costs.

$4.3B
grid costs passed to ratepayers in 2024 (7 states)
Full Co-Benefits Analysis →

Ready to See the Numbers for Your Facility?

No commitment. We'll calculate your three-layer savings estimate and walk you through the IPMVP verification process.

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