How do I scale Monero mining to a farm of 100 CPUs?

To scale Monero mining to 100 CPUs, you need to build a small computing operation—not just copy a miner onto more machines. Start with a measured pilot, then expand only when your electricity costs, cooling, and real mining output make sense.

Prove the numbers with a small pilot

First, define your target: 100 physical processors, not 100 cores or mining threads. A thread is one stream of work running on a processor. For simpler maintenance, you might use 100 single-CPU machines, but compare their total cost against other layouts.

Test three to five representative machines for at least a week. Measure:

• Hashrate: mining calculations completed each second.
• Wall power: electricity used by the whole machine, not just its CPU.
• Accepted shares: work your mining pool recognizes.
• Temperatures, crashes, and time spent maintaining each machine.

A mining pool combines miners’ work and shares rewards. Use your measured hashrate in a live profitability calculator, then subtract electricity, cooling, pool fees, repairs, and hardware costs. Test worse scenarios too: lower XMR prices and higher competition.

Do not buy the remaining machines based on advertised processor performance alone.

Size hardware for RandomX

Monero uses RandomX, a mining algorithm designed to favor CPUs. A browser miner may be convenient for testing, but browser limits and extra overhead generally make it a poor foundation for a 100-CPU farm. Use reputable native mining software—software that runs directly on your operating system—for production.

RandomX typically needs about 2 MB of L3 cache per mining thread. L3 cache is fast memory inside the processor. More cores do not automatically mean more useful mining threads.

Its fast mode uses a 2,080 MB dataset, a shared collection of data used during mining, plus additional memory. Allow room for the operating system and miner; multi-processor systems may need additional dataset copies for good performance.

Benchmark thread counts, memory settings, and CPU power limits. Lowering power can improve hashes per watt even if peak hashrate falls. Favor efficient, stable settings over maximum speed.

Plan electricity and heat before expansion

Calculate demand using wall measurements. For example, 100 machines averaging 150 watts each consume 15 kilowatts, or 360 kilowatt-hours per day, before cooling and other equipment. This is an illustration, not an earnings estimate.

Nearly all that electricity becomes heat. Have a qualified electrician assess your supply, circuits, continuous-load limits, grounding, and power distribution.

Plan:

• Airflow that separates cool intake air from hot exhaust.
• Cooling for your hottest expected weather.
• Temperature alerts and automatic shutdown limits.
• Noise control, dust cleaning, and safe access.

Expand in batches, such as 10, then 25, then 50, then 100 CPUs. Check each stage under sustained load.

Manage the farm as one system

Create one tested operating-system image and miner configuration. Give every machine a unique worker name so you can spot failures.

Use centralized monitoring for hashrate, accepted and rejected shares, temperatures, power, and outages. Prefer wired networking; reliability matters more than high bandwidth.

Keep wallet spending keys off mining machines. Verify software downloads, restrict remote access, and test updates on a few machines first. Configure a backup pool and stagger restarts to avoid simultaneous power surges.

The bottom line

Scale only after measured results justify the next batch. At 100 CPUs, efficient power use, dependable cooling, and fast fault detection matter more than squeezing out a little extra hashrate. Check local electrical, business, and tax requirements before committing.