What does ConserveMode™ actually do — in plain English?

Data centers waste enormous amounts of electricity in two ways: servers sitting idle between jobs still draw full power, and the same AI calculations get run over and over even when the answer hasn't changed. ConserveMode™ is software that fixes both — without touching your hardware or changing anything about how your facility operates.

You install it on your existing servers. It cuts idle-state power consumption by 89%. It eliminates redundant computations, saving 87% on inference energy. Combined, your total facility energy bill drops by 79%+. You keep 70% of the savings as cash. We take 30%, paid only after an independent auditor confirms the savings are real.

The short version: No hardware to buy. No upfront cost. Your electric bill drops by roughly 79%. The savings pay for everything.

How can you claim 80–90% reduction if a processor runs workloads 40–60% of the time?

This is the right question. ConserveMode™ delivers savings at three distinct layers — not one single number. The 89% applies to idle-state intervals. The 87% applies to inference requests. The 79%+ is the IPMVP Option B measured whole-facility baseline — Layer 3 broadcast delivery adds further reduction. Each layer is independently auditable under IPMVP Option B — the government-recognized protocol for verifying energy savings (think of it as an independent audit that confirms the numbers before any payment changes hands).

What produces the 87% inference savings?

The majority of enterprise inference requests are answered at zero compute cost. Those that require compute are handled at minimum energy. The result is an 87% reduction in inference energy across mixed enterprise workloads — independently measured and verified under IPMVP Option B.

Does this work beyond AI datacenters — traditional servers, motors, other devices?

Yes — hardware-agnostic by design. x86, ARM, RISC-V — ConserveMode™ runs in pure software on datacenter CPUs and GPUs without hardware changes. The validated H200 GPU results are a proof point. Additional controllable-load embodiments including industrial motors and network devices are under development.

What are the upfront costs?

None. GTC uses a performance contract model — 30% of verified utility savings, paid only after utility savings are confirmed via IPMVP-compliant measurement. No hardware purchases, no upfront fees. You keep 70% from day one. For government facilities, ConserveMode™ is designed to support ESPC (Energy Savings Performance Contract) contracting — where applicable, no appropriated funds are required, with payment from verified utility savings only. Eligibility depends on agency procurement authority and contract structure.

Is this patented?

Yes. The technology is protected by Patent Pending — covering the core broadcast distribution architecture and optimization systems.

What is the DVBE certification?

Green Tech Coast Inc. holds California Disabled Veteran Business Enterprise (DVBE) certification. State and federal procurement regulations provide set-aside and preference advantages for DVBE contractors in energy services contracts. This positions ConserveMode™ favorably in competitive government procurements.

I'm skeptical of the savings numbers. Can I verify them myself?

Yes — that's exactly what the 30-day trial is for. We'll deploy ConserveMode™ on your own infrastructure, measure results under IPMVP Option B with 1-second power telemetry, and let you see the savings on your own infrastructure before you commit to anything. If the numbers don't hold up on your hardware, you owe us nothing. Start a 30-day trial →

How are the savings calculated?

ConserveMode™ savings are measured across three independently auditable layers. Each layer operates on different physics and produces different savings — they are not simply additive, and actual results depend on your specific facility profile.

Layer 1 — Idle State Management (89%)

Measured during idle intervals — periods when the processor is not actively executing a workload. Savings are proportional to idle time, which varies by workload mix and utilization rate.

Layer 2 — Inference Request Savings (87%)

Measured across enterprise inference workloads. Savings reflect the reduction in redundant compute across the request pool. Results vary by request mix, cache-hit rate, and GPU/CPU architecture.

Total Facility Effect (79%+)

The baseline measured under IPMVP Option B combining Layers 1 and 2. Actual facility savings depend on workload mix, GPU/CPU type, utilization rate, PUE, measurement period, and facility configuration. Layer 3 broadcast delivery adds further reduction at scale.

All savings are verified through an agreed measurement-and-verification process under IPMVP Option B with 1-second power telemetry. Your 30-day trial produces the actual numbers for your specific infrastructure — before you commit to anything.

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