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← Blog · July 15, 2026 · Feature deep-dive

Catching hashboards before they die: how failure prediction works

Most monitoring tools tell you a miner went offline. By then you've already lost the block. The expensive question is different: which of my healthy-looking machines is going to fail next week?

Failure is a trend, not an event

Hashboards rarely die suddenly. They degrade: a chip drops out, the board re-balances, hashrate sags a fraction, temperatures drift, the error log starts whispering. On a single machine you'd never notice. Across a fleet, the pattern is unmistakable — if something is watching for it.

What the platform tracks

From prediction to a ticket that files itself

When a board crosses the degradation line, the AI maintenance bot opens a ticket that already names the miner, the failing board, and the evidence — then dispatches it. Across 19,700+ processed tickets, that's the difference between "rack 14 is down, someone go look" and "swap board 2 on S19 #4471 during Tuesday maintenance."

What it changes operationally

Predicted failures become scheduled swaps: the board comes out during planned maintenance, enters the RMA/repair pipeline, and the machine keeps hashing on a spare. Unpredicted failures become downtime, SLA credits, and hostile client calls. At fleet scale, the gap between those two modes is measured in blocks.

See it on your own fleet: create a free account and install the agent — failure prediction is included in Pro at $0.40/miner.