PRIME CORE: AI-Optimized GPU Energy Management 40-60% Energy Reduction | Software-Only
Authors/Creators
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:
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1,300,000+ telemetry data samples
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1,000+ hours of continuous runtime
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Tested across multiple NVIDIA GPU architectures
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40–60% power reduction at ~75% GPU load
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Significant temperature reduction (≈ 74 °C → 52 °C)
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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)
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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)