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, a

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.ai produces identical normalized outputs across architectures, anchored by deterministic hashing and public validation harnesses. This is the first time sparse compute has achieved backend-agnostic reproducibility. 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.