Miner Performance Lab
Try GPU + miner settings and see predicted proof-rate and profitability without renting or running a thing. The current zkPoW regime is calibrated on real goldenminer measurements we collected; the Fork A “matmul PoUW”regime models the upcoming change where mining becomes matrix-multiply AI work — so you can see how your hardware's value shifts before it lands, and whether tensor-heavy cards (or datacenters merge-mining AI) are about to out-earn you.
Calibrated estimate — not a guarantee
The current zkPoW regime is calibrated on 7 real goldenminer measurements (fit R²= 0.989, ±4.6 p/s). The Fork A “matmul PoUW” regime is now calibrated on 3 real GEMM-throughput benchmarks we ran — measured matmul is ~half the spec-sheet peak, and consumer/workstation cards run tensor at half rate (real/spec ≈ 0.29) while full-rate datacenter parts hit ≈0.71. Cards we didn't measure use their architecture's measured factor (wider band). It still models a not-yet-live protocol — treat it as a forecast, not a promise.
Hardware & settings
GPU (incl. cards you don't own — that's the point)
PoW regime
Miner mode (--mode)
threads-per-card: 4
GPU count: 1
Economics
NOCK price (USD)
rent $/hr per card
Predicted (calibrated)
± 5 p/s · 135 p/s/card before settings
proof-rate per $ rent/day
14.1 p/s/$
NOCK / day
6.77
share 6.8e-3%
revenue / day
$3.39
rent / day
$9.60
profit / day
-$6.21
NOCK/day depends on your network-size & emission snapshot (defaults: 2,000,000 p/s network, 100,000 NOCK/day). The robust, calibrated outputs are proof-rate and per-$ value.
How RTX 4090's rank shifts when matmul PoUW lands
Among 24 cards, the RTX 4090 ranks #3 under today's zkPoW but #5 under Fork A matmul PoUW — down 2 (FP32 advantage fades; datacenter tensor silicon overtakes it). Datacenters merge-mining AI work at ~zero marginal cost is the dilution this models.
Catalog ranked by predicted p/s — current zkPoW (calibrated) · gpu · 4 thr · 1×
dark = selected · gray = datacenter card · light = consumer · click a bar to select
Honest limits
Current-regime predictions are a least-squares fit over a handful of real single-card runs — good for ranking and rough sizing, not a guarantee for your exact host. Fork A is a modeled estimate: the matmul PoUW protocol change isn't live, so those numbers track spec-sheet tensor throughput and a placeholder dilution/emission snapshot you can override. Real matmul-PoUW calibration data gets folded in as the change ships.