ROLV
Fort Lauderdale, FL · ROLV, LLC · rolv.ai

Zero
FLOPs
Eliminated

ROLVSPARSE© is a platform-agnostic, deterministic compute primitive that eliminates wasted Zero FLOPs — delivering orders-of-magnitude speedups and up to 99% energy savings. No new hardware. No retraining. No model changes.

243×
NVIDIA B200 · 70% Sparse
Peak GPU speedup
vs. cuBLAS / cuSPARSE
40×
CPU · Intel Xeon
Kimi K2.5 Expert Slice
~87% sparsity — commodity CPU
99%
Energy Saved
Sparse workloads vs. dense baseline
Validated by University of Miami
243× NVIDIA B200 Peak Speedup · 40.3× on Commodity CPU — No New Hardware · 99% Energy Saved · University of Miami Frost Institute Validated · Platform-Agnostic · GPU · CPU · TPU · Mobile · EV · Patents Pending: Binary · Quantum · DNA · Optical · Plant · 243× NVIDIA B200 Peak Speedup · 40.3× on Commodity CPU — No New Hardware · 99% Energy Saved · University of Miami Frost Institute Validated · Platform-Agnostic · GPU · CPU · TPU · Mobile · EV · Patents Pending: Binary · Quantum · DNA · Optical · Plant ·
01 CPU Breakthrough — March 2026

The CPU Breakthrough.

ROLV delivers massive acceleration on commodity CPUs with no new hardware required. Validated on a standard Intel Xeon against the exact Kimi K2.5 expert FFN matrix (7168×2048, batch=512, ~87% sparsity).

40.3×
CPU Speedup — Kimi K2.5 Expert FFN
Intel Xeon · 87% sparsity · vs MKL dense baseline
96%
Energy Saved — Same Matrix · Same CPU
17,371 J → 360 J — commodity Intel Xeon
17,371J
Dense Baseline Energy
Standard MKL dense at <70% sparsity
360J
ROLVSPARSE© Energy
96% reduction — same hardware, no changes
193×
FE Solver Speedup
Mobile-phone chassis drop-test · 99.5% energy saved
243×
Peak GPU Speedup — NVIDIA B200
70% sparsity · 99.6% energy saved · vs cuBLAS
Reproduce on Your Hardware →
02 Full Benchmark Suite

Cross-Platform Benchmarks.

Complete results across NVIDIA B200, AMD MI300X, Google TPU, Intel Xeon, and AMD EPYC at every sparsity level 0–99%. Validated by the University of Miami Frost Institute for Data Science and Computing.

Sparsity Metric NVIDIA B200 AMD MI300X Google TPU Intel Xeon AMD EPYC
0%Speedup63.23×21.78×1.88×7.93×9.23×
Energy Saved98.42%95.41%46.67%87.40%89.17%
10%Speedup63.22×21.88×1.79×7.69×9.32×
Energy Saved98.42%95.43%46–47%86.99%89.27%
20%Speedup63.21×21.86×1.87×7.56×9.34×
Energy Saved98.42%95.39%46–47%86.77%89.29%
30%Speedup63.22×21.75×1.77×7.54×9.15×
Energy Saved98.42%95.30%46–47%86.74%89.07%
40%Speedup63.21×21.09×1.77×7.69×9.32×
Energy Saved98.42%95.20%46–47%87.00%89.27%
50%Speedup63.18×20.88×1.77×7.40×9.23×
Energy Saved98.42%95.10%46–47%86.48%89.17%
60%Speedup63.20×20.50×62.43×25.15×9.26×
Energy Saved98.42%95.35%98.40%96.02%89.20%
70% ▲Speedup243.07×242.19×51.16×40.57×9.24×
Energy Saved99.59%99.74%98.05%95.47%89.17%
80%Speedup159.85×163.48×36.36×28.96×107.58×
Energy Saved99.37%99.50%97.25%94.51%99.07%
90%Speedup79.05×84.56×16.71×12.72×116.67×
Energy Saved98.74%99.48%94.01%91.91%99.14%
95%Speedup39.80×88.28×9.39×6.33×109.25×
Energy Saved97.49%99.45%89.35%83.89%99.08%
99%Speedup8.27×35.00×2.41×1.87×95.93×
Energy Saved87.91%94.52%58.55%37.16%98.96%

Baseline: Vendor dense library <70% sparsity · Vendor sparse library ≥70% sparsity · All results independently validated by the University of Miami Frost Institute · Full Benchmark PDF ↗

03 Real-World Applications

Production-Scale Results.

All production-scale workloads — real models, real datasets. Every result carries both speedup and energy savings — because ROLV eliminates the work entirely, not just speeds it up.

🏭 Production Workloads — Speedup & Energy Savings
Real models · Real datasets · Both axes matter — ROLV wins on both simultaneously
Each bar shows TWO metrics: left = speedup factor (blue), right = energy saved (green). No other technology delivers both. Full Benchmark PDF ↗
Full Benchmark PDF ↗
04 Mobile & EV

Battery Life & Driving Range.

ROLV eliminates wasted Zero-FLOPs even in dense workloads — giving both speed and battery life gains on mobile SoCs and automotive compute.

📱 Mobile Benchmark — 2026 Flagship Phones
Camera AI — First Layer Vision2.82×+50.4% battery
Always-On Audio DSP Filtering1.73×+33.0% battery
On-Device AI Search (Embeddings)2.70×+49.1% battery

Overall: up to +44.1% increased battery life on the same phone.

🚗 EV Benchmark — 2026 Electric Vehicles
First-Layer Vision (Safety-Critical)2.30×+36.7% range
Sensor Fusion & Kalman Filter1.65×+25.6% range
Battery Management & Range Prediction2.06×+33.4% range

Overall: up to +31.9% increased driving range on the same battery.

05 Independently Verified

Trusted Validation.

01 Academic
University of Miami Frost Institute for Data Science and Computing

Benchmarks independently validated. Deterministic and reproducible results confirmed across all tested platforms. Backend-agnostic reproducibility verified.

View Validation PDF →
02 Validated
ROLV Validation Test — Full Reproducibility

All benchmarks independently validated. Deterministic and reproducible results confirmed across all tested platforms. Nsight-validated tolerance harness included.

Download Validation Test PDF →
03 Full Suite
All Benchmarks — PDF Download

Complete benchmark suite across NVIDIA, AMD, Intel, Google TPU, and Apple M-series. Synthetic and real-world production-scale workloads. Every result verifiable.

Download Benchmarks PDF →
06 ROLV Sparse Memory Threshold

The RSMT Calculator.

Memory capacity, not compute, is the true AI bottleneck. The RSMT identifies the exact density where sparse storage saves your model from VRAM exhaustion.

ROLV Unit Calculator
07 Leadership

The Founder.

Rolv E. Heggenhougen, CEO of ROLV, LLC, is the founder of two public companies and technology companies across Norway, Sweden, Denmark, Latvia, Germany, Switzerland, Australia, China, and the U.S.

He spearheads the elimination of the Zero-FLOP bottleneck across global AI infrastructure with novel sparse matrix arithmetic paradigms — a compute primitive that works across GPUs, TPUs, CPUs, mobile SoCs, and next-generation accelerators with no changes to existing hardware or model stacks.

Mr. Heggenhougen has financed several start-up companies and holds deep cross-disciplinary expertise spanning AI compute architecture, patent law, and international technology commercialization.

He is fluent in Norwegian, Danish, and Swedish with working knowledge of German, a graduate of the University of Miami, attended Oslo University Law School, and is a certified pilot.

PATENTS
2 patents issued, 6 pending (as of Oct 2025) with the U.S. Patent Office. Covering Binary, Quantum, DNA, Optical, and Plant platforms for AI processing, plus Mobile Phone and EV applications.
COMPANIES
Founder of two public companies and tech ventures across 9 countries including Norway, Sweden, Germany, Switzerland, Australia, China, and the U.S.
EDUCATION
Graduate of University of Miami. Attended Oslo University Law School. Certified pilot.
VALIDATION
All ROLV benchmarks independently validated by the University of Miami Frost Institute for Data Science and Computing.