Manual vs automatic overclocking: the arithmetic of labor

The short version (for the no-time-to-read)

What exactly eats the manual path

The count below is unadorned — the usual "by hand" routine.

Sweeping values — hours per card

Per card and per algorithm you manually sweep several axes: core, memory, power limit, fan speed. Each step — change a value, let the miner run, compare hashrate, temperatures, drops. Even "minimum effort" means dozens of iterations per card. Five cards — hundreds, each done by hand, one by one.

Stability runs — hours that cannot be compressed

A point that "survived 10 minutes" means nothing. Stability is confirmed by hour-long and overnight runs — otherwise you learn about instability from a silent rig at four in the morning. Confirming one point takes hours of observation; while a card is being checked, the rest either wait or run limited so as not to spoil the picture.

The same work keeps coming back

Pools rotate algorithms month to month, drivers arrive on their own schedule, hot seasons shift thermal points. Every such episode means sweeping and re-checking at least part of the cards again. Over a year it happens dozens of times.

The arithmetic is simple: even a miner who gives the farm an evening here and there invests dozens of hours a year into manual tuning — and that is without card swaps and heat waves. With cards moving between rigs, the count goes toward hundreds of hours.

Why mistakes cost more than time

Time is half the trouble. The expensive part is what wrong points lead to:

• overcooked settings — the rig reboots or cards drop off; at night it means downtime until you notice, and downtime is lost revenue, while frequent reboots wear on the hardware too;
• undercooked settings — you quietly lose hashrate percentages every day, all year, and never see it, because the charts look "normal";
• overheated memory missed due to unoptimized fan work — slow aging (see our temperature article) and scheduled pad replacements;
• one profile for the whole rig: you concede part of the better cards' potential, because you align to the worst card in the rack.

What the automatic approach does — and does not

Honestly: a bot does not "invent" overclocks and there is no magic in it — it works through the same mechanisms as a human: it sweeps, measures, discards unstable settings, confirms on long runs, memorizes the best point. The difference is in three things:

1. It is always on duty

   Nights, workdays, vacations: observation is continuous, and instability is caught as it happens, not from the morning silence.

2. It holds the total power budget

   Each card alone might hold more than the PSU allows. Automation distributes limits across cards so the rig stays inside your overall cap — manually this is the most tedious of the calculations.

3. It remembers points

   Found values are kept per card model and survive moves between rigs: a good card travels — its profile travels with it.

What a bot does not do: it does not fix bad economics or sloppy wiring — a reasonable tariff and decent circuits are needed in any scenario. The practical split: the manual path is a skill and a hobby; the automatic one is an operating style for a farm that must earn without your constant presence. OCBot was built for the second scenario: years of experience across several of our own rigs grew into a tool that tunes per card, respects the power budget and reports to Telegram. You can try it via the trial.