Our Mission
Our solutions empower industries to handle massive datasets with fewer resources — reducing costs, cutting environmental impact, and maintaining high accuracy.
Whether optimizing AI models, streamlining cryptocurrency operations, enabling smarter mobile apps, or enhancing electric vehicle systems, rolvSPARSE© sets a new standard for scalable, sustainable computing.
rolvSPARSE© combines advanced compression, adaptive optimization, and hardware-aware techniques to accelerate sparse matrix operations.
🔒 Backed by 6 patents pending, rolvSPARSE© excels in real-world scenarios where data sparsity ranges from 40–95%, common in AI training, crypto algorithms, mobile edge computing, and EV data handling.
Test Environment:
NVIDIA B200 GPU
Amortized over 1,000 iterations
Sparsity Speedup vs cuSPARSE Speedup vs Dense Energy Savings vs cuSPARSE
70% 315× 83× 99.67%
80% 207× 84× 99.50%
90% 103× 83× 99.00%
95% 51× 83× 98.03% At 70% sparsity, common in pruned AI models, rolvSPARSE© achieves a 315× speedup vs cuSPARSE.
Scaling further, 100,000 GPUs with rolvSPARSE© perform like 30M GPUs, avoiding over $1.06T in hardware costs.
rolvSPARSE© delivers 98–99% energy savings vs baseline methods.
Example: At 70% sparsity → 0.10 J per iteration vs 31 J for cuSPARSE.
Protected by 6 patents pending, covering applications in AI Cryptocurrency Mobile devices and Electric vehicles.
Rolv E. Heggenhougen, Founder & CEO of ROLV LLC, has built over a dozen businesses across four continents, taking two public. He holds two U.S. patents (with 6 pending) and earned his degree from the University of Miami. A proven entrepreneur and innovator, Rolv now leads ROLV, LLC mission to revolutionize sparse computing for AI, crypto, mobile, and EVs.
ROLV Unit=S⋅log10(S)/∣log10(1−D+ϵ)∣+E⋅S/100
Where:
If S>1S > 1S > 1 and 0<D<10 < D < 10 < D < 1:
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