Test the New Compute Primitive on Any Hardware — Zero IP Exposure
The ROLV Primitive
ROLV is not an optimization, a kernel or a library.
It is a new compute primitive — a universal sparse operator that works across GPUs, TPUs, CPUs, mobile SoCs, and next-generation accelerators.
ROLV produces identical normalized outputs across architectures, anchored by deterministic hashing and public validation harnesses.
This is the first time sparse compute has achieved true backend-agnostic reproducibility — delivering the same ROLV hash on NVIDIA GPU, AMD GPU, Intel CPU, Google TPU, AMD CPU, and Apple M4.
ROLV requires no retraining, no model changes, no hardware changes, and no compiler changes. It plugs directly into existing inference and training stacks to mathematically eliminate "Zero-FLOPs" — the wasted operations where hardware burns energy and time multiplying or loading zeros.
ROLV has already shown extreme performance across thousands of benchmarks:
- Up to 243× speedup
- Up to 99.7% energy savings
- 40.3× speedup on commodity CPU with Kimi K2.5 expert workload
- Massive gains in tokens/sec on LLMs, recommendation systems, scientific computing, and more
Full benchmarks & methodology: rolv.ai
pip install torch numpy
python rolv-verifier.py
Send the generated rolv_baseline.json to rolv@rolv.ai and we will return a professional comparison report showing ROLV results on your exact hardware.
Customize the test
python rolv-verifier.py --N 16384 --zeros 0.92 --batch 2048 --iters 500 --pattern power_law
Rolv, LLC • Patents Pending