Miner Database Methodology

How D-Central evaluates miner specs, profitability inputs, update cadence, data sources, and limitations for miner comparison pages.

Data Sources

D-Central combines manufacturer specifications, public firmware documentation, pool and network assumptions, D-Central bench observations, repair queue patterns, product availability, customer deployment notes, and miner database normalization.

Manufacturer specs are the baseline for hashrate, watts, J/TH, voltage, cooling, dimensions, release generation, and algorithm. They are not treated as guaranteed wall measurements because firmware, ambient temperature, PSU health, dust, tuning, and used condition can change the result.

When a model appears in both product and database contexts, the product page is treated as the commercial availability surface while the miner database remains the specification and comparison surface. If the two disagree, current inventory and bench-verified measurements should be reviewed before the buying copy is trusted.

Open-source miners, heater conversions, refurbished ASICs, and modified units are marked with extra caution because their useful value can depend on assembly quality, firmware branch, airflow path, power supply pairing, and whether the buyer wants learning value, heat reuse, solo mining, or fleet economics.

Fields and Derived Scores

Tracked fields include manufacturer, model, aliases, algorithm, hashrate, wall power, efficiency, release year, cooling type, voltage, form factor, firmware compatibility, availability, noise range, and known repair notes.

Derived scores cover efficiency, home-mining suitability, beginner fit, heat-reuse fit, repairability, firmware support, and relative value. The best score depends on the use case, not a universal ranking.

Home-mining fit weighs sound profile, heat output, circuit requirement, physical footprint, setup complexity, and whether the miner can be operated without disrupting shared rooms. A high-efficiency unit can still be a poor home choice if it requires industrial power, aggressive fans, or difficult exhaust routing.

Repairability weighs parts availability, board complexity, known chip failure patterns, PSU compatibility, diagnostic access, firmware recovery path, and the likelihood that a repair restores enough useful life to justify shipping and bench time.

Profitability Assumptions

Profitability outputs should include BTC price, network difficulty, block subsidy, estimated transaction fees, pool fee, delivered power rate, uptime, hardware price, shipping, tax, currency, and timestamp. Missing assumptions make a result directional only.

Heat reuse is modeled separately from mining revenue. A heater setup can be rational in a cold room even when pure mining ROI is marginal, but the electrical, airflow, and safety limits still apply.

Used hardware comparisons should include failure risk, likely maintenance, resale value, and downtime. A cheap older miner can underperform a newer unit once power cost, fan noise, firmware stability, and repair probability are counted.

Hosted mining comparisons should separate hardware ROI from hosting terms. Power rate, uptime commitment, maintenance responsibility, pool configuration, curtailment rules, and shipping timeline can change the result more than a small efficiency difference between adjacent models.

Update Cadence and Limitations

BTC price and network difficulty should be live or timestamped. Product price and availability should be checked weekly for buyer guides. Miner specs are reviewed on release, firmware change, or verified correction. Repairability notes are reviewed monthly against parts and bench patterns.

The database cannot fully predict local utility charges, future difficulty, shipping damage, individual used-hardware condition, customs, warranty disputes, or firmware instability. Verify current assumptions before buying, repairing, hosting, or retiring hardware.

D-Central treats database pages as decision support rather than financial advice. The goal is to narrow hardware choices, reveal hidden constraints, and connect each model to repair, calculator, product, and educational resources that make the next step clearer.

Readers should preserve the timestamp of any comparison used for a purchase decision. Network conditions, BTC price, transaction fees, stock, and used-market prices can change quickly enough that a saved quote or screenshot may be stale within days.