Published December 13, 2025 | Version 1.0
Presentation Open

PRIME CORE: AI-Optimized GPU Energy Management 40-60% Energy Reduction | Software-Only

Description

This pitch deck presents Prime Core, a software-only AI system for GPU energy optimization in large-scale data centers. Prime Core leverages deterministic resonance dynamics to stabilize lower-energy compute states without firmware modification, throttling, or performance loss.

The solution addresses a rapidly growing problem: GPU energy waste now exceeds $50B/year, projected to reach $120B/year by 2030, with up to 60% of energy dissipated as heat. Existing approaches deliver marginal gains. Prime Core demonstrably achieves 40–60% power reduction under real production loads.

Validation highlights include:

  • 1,300,000+ telemetry data samples

  • 1,000+ hours of continuous runtime

  • Tested across multiple NVIDIA GPU architectures

  • 40–60% power reduction at ~75% GPU load

  • Significant temperature reduction (≈ 74 °C → 52 °C)

  • 4 peer-reviewed, DOI-verified publications

All results are empirical, reproducible, and independently auditable, with open access to raw datasets via Zenodo .

Prime Core is designed as a scalable SaaS with immediate ROI, zero CAPEX, and direct OPEX reduction. Customers pay only when measurable savings are realized.

Files

Pitch Deck Prime Core.pdf

Files (728.3 kB)

Name Size Download all
md5:0367a707f141e6c7f5e222f896413fee
728.3 kB Preview Download

Additional details

Related works

Continues
Peer review: 10.65157/JCCER.2025.011 (DOI)
Preprint: 10.5281/zenodo.14952781 (DOI)
Preprint: 10.5281/zenodo.15306330 (DOI)