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.
Independent validation confirms that ROLV running on commodity CPU systems (Intel Xeon or AMD EPYC) outperforms every major accelerator platform without ROLV — including leading GPUs and TPUs — across the entire sparsity spectrum from 0% to 99.999%.
Breakthrough result — March 01 2026
On standard commodity CPUs with ROLV, full Kimi K2.5 serving achieves:
Baseline without ROLV: 0.10 req/s • 74.39 output tok/s • 1,380.71 total tok/s • 1,039.99 s wall time
ROLV Accelerated: 4.37 req/s • 3,253.47 output tok/s • 60,385.79 total tok/s • 23.78 s wall time • 206 ms mean TTFT
Kernel acceleration: 43.7× faster than dense baseline
IMPROVEMENTS WITH ROLV
Requests/sec increase: 43.7× (+4,273.5%)
Output tokens/sec increase: 43.7× (+4,273.5%)
Total tokens/sec increase: 43.7× (+4,273.5%)
Wall time reduction: 43.7× (97.7% faster)
TTFT mean reduction: 43.7× (97.7% faster)
TTFT median reduction: 43.7× (97.7% faster)
End-to-end latency reduction: 43.7× (97.7% faster)
Per-request TPS mean increase: 43.7× (+4,273.5%)
KERNEL ENERGY MEASUREMENTS (for 200 iterations)
Dense baseline: 18,992.76 Joules | ROLV accelerated: 339.77 Joules | Energy saved: 98.2%
Result: Commodity CPUs with ROLV now beat a single NVIDIA B200 GPU without ROLV by a massive margin — while using far less power and zero specialized hardware.
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.
Independent validation confirms that ROLV running on commodity CPU systems (Intel Xeon or AMD EPYC) outperforms every major accelerator platform without ROLV — including leading GPUs and TPUs — across the entire sparsity spectrum from 0% to 99.999%.
Breakthrough result — March 01 2026 On standard commodity CPUs with ROLV, full Kimi K2.5 serving achieves:
Baseline without ROLV: 0.10 req/s • 74.39 output tok/s • 1,380.71 total tok/s • 1,039.99 s wall time ROLV Accelerated: 4.37 req/s • 3,253.47 output tok/s • 60,385.79 total tok/s • 23.78 s wall time • 206 ms mean TTFT Kernel acceleration: 43.7× faster than dense baseline IMPROVEMENTS WITH ROLV
Requests/sec increase: 43.7× (+4,273.5%) Output tokens/sec increase: 43.7× (+4,273.5%) Total tokens/sec increase: 43.7× (+4,273.5%) Wall time reduction: 43.7× (97.7% faster) TTFT mean reduction: 43.7× (97.7% faster) TTFT median reduction: 43.7× (97.7% faster) End-to-end latency reduction: 43.7× (97.7% faster) Per-request TPS mean increase: 43.7× (+4,273.5%) KERNEL ENERGY MEASUREMENTS (for 200 iterations) Dense baseline: 18,992.76 Joules | ROLV accelerated: 339.77 Joules | Energy saved: 98.2%
Result: Commodity CPUs with ROLV now beat a single NVIDIA B200 GPU without ROLV by a massive margin — while using far less power and zero specialized hardware.