Mining 2.0: how artificial intelligence is changing the running of mining farms

In 2026, large mining farms increasingly run their operations with machine-learning software: it monitors machine health, tunes power consumption to the electricity price and controls cooling. After the Bitcoin halving in April 2024 and with expensive energy, how efficiently the machines run decides profit more than ever. We summarise where these tools are used today and what to expect from them.

Predictive maintenance: catching a fault before the machine fails

In the past, a miner only discovered a fault when the hashrate dropped to zero. Today, monitoring software tracks chip temperatures, fan speeds, power consumption and the error rate of individual hashboards. The system learns how a particular machine behaves under normal conditions and flags any deviation – for example, when a chip runs hotter than usual under the same load.

This makes it possible to replace a thermal pad, clean out dust or replace a fan before the board is damaged. What the temperature sensors in an ASIC measure and how to look after the machine is described in our article How to look after an ASIC.

Power consumption by electricity price

Electricity is the biggest cost in mining. Software connected to prices on the power exchange can change the machines' output during the day:

• when electricity is expensive, it switches the machines to an economy mode with reduced voltage (undervolting),
• when electricity is cheap, it increases output instead,
• when the grid is overloaded, it can stop mining for a while. In some markets, grid operators pay for this kind of flexibility.

At the level of individual machines, firmware with automatic tuning (autotuning), such as Braiins OS, can do this. It tunes the frequency of individual chips: it gives stronger chips more work and weaker ones less.

Choosing a coin by profitability

For graphics cards and machines that support several algorithms, software compares the profitability of coins and switches the hashpower to wherever it currently pays off. Besides price, it also takes network difficulty and liquidity into account – that is, whether you can actually sell the mined coins. ASIC miners, however, are mostly tied to a single algorithm, so there is less room for switching.

Load-based cooling

Conventional cooling keeps fans running at high speed all the time. That is noisy and wears out the bearings. Today, control systems regulate the fans in containers and the coolant flow in immersion or water cooling according to the actual temperature. This saves energy on cooling and extends the life of the parts.

What this means for smaller miners

Mining is no longer just about the number of machines and the price of electricity, but also about the software that controls them. For a smaller miner, two things make the most sense: monitoring of temperatures and errors, and firmware with autotuning. A specific saving cannot be promised in advance – it depends on the machine model, the electricity price and the conditions at the site.

What next

• Software for managing ASIC miners – monitoring, firmware and remote management.
• How to convert an ASIC into an AI server – the other side of the link between mining and artificial intelligence.

Sources

• Braiins OS – firmware with autotuning