Goldshell CK6-SE CKB Nervos Miner

The Goldshell CK6-SE is a purpose-built ASIC miner for the Nervos Network’s native token (CKB), executing the Eaglesong algorithm with a rated throughput of 17 TH/s and a measured power draw of 3,300 W, which corresponds to an energy efficiency in the order of 194.12 J/TH; this configuration reflects a deliberate engineering trade-off favoring sustained, algorithm-specific performance over general-purpose flexibility. Its industrial-oriented chassis, compact at 264 × 200 × 290 mm and weighing 8.5 kg, houses four high-speed fans and a robust cooling architecture designed to maintain stable operating temperatures under continuous load, albeit at a noise level around 80 dB that constrains deployment to dedicated facilities or sound-mitigated racks. The dedicated Eaglesong focus yields predictable hashrate stability and operational simplicity-advantages for large-scale farms seeking consistent block yield per unit-while the high power draw makes power provisioning, heat-rejection capacity, and electrical infrastructure primary determinants of total cost and site suitability. From a management perspective, the CK6-SE’s strengths are durability and steady throughput; its weaknesses are the significant thermal and acoustic output and the consequent requirements for ventilation, noise control, and routine maintenance such as fan inspection and firmware updates. For investment planning, rigorous modeling that includes hashrate, network difficulty trajectory, pool fees, uptime assumptions, and site-specific electricity rates will produce daily, monthly and annual revenue projections and inform break-even and lifecycle expectations; operators should also factor in hardware depreciation, potential algorithmic or protocol changes, and broader market volatility when assessing long-term viability. In sum, the CK6-SE is a defensible choice for operators prioritizing dedicated Eaglesong efficiency and reliability at scale, provided the facility can absorb its power and noise footprint and management implements disciplined monitoring and cost modeling.

The Goldshell CK6-SE is a purpose-designed ASIC for mining Nervos CKB via the Eaglesong algorithm, delivering a nominal 17 TH/s while drawing approximately 3,300 W for an energy intensity near 194 J/TH; its hardware choices reflect a clear prioritization of sustained, algorithm-specific throughput and industrial robustness rather than versatility for multiple algorithms. The unit’s compact chassis (264 × 200 × 290 mm, 8.5 kg) houses four high-speed fans in a focused airflow architecture and a reinforced PSU engineered to tolerate continuous high-power duty cycles, a combination that preserves component longevity under constant load but produces a measured acoustic footprint near 80 dB that confines practical deployment to dedicated facilities or acoustically treated racks. On the systems side, the CK6-SE incorporates active power management to stabilize consumption against environmental and load variations, remote firmware update capability for non-disruptive performance and security improvements, and firmware-level pool integration that reduces connection flakiness and the incidence of rejected shares, while a chipset microarchitecture tuned to Eaglesong minimizes unnecessary computations and elevates CKB yield per watt. Operational considerations are straightforward: ensure adequate electrical provisioning and circuit capacity, plan for robust heat rejection and filtered airflow to limit dust ingestion, schedule routine fan and thermal interface inspections, and consider acoustic mitigation where operator exposure is a concern; monitoring of ambient temperature, input voltage stability, and hashboard health will materially affect uptime and effective yield. Financial and deployment planning should treat the CK6-SE as a fixed-function, high-density node whose cost-effectiveness depends heavily on site-specific power costs, cooling infrastructure, network difficulty trends, and disciplined maintenance regimes, making it well suited to scale in environments that can absorb its thermal and acoustic signature while benefiting from the device’s predictable throughput and remote management capabilities.

Eaglesong jest funkcją haszującą, która służy jako podstawa Nervos mechanizm konsensusu proof-of-work. Ten algorytm przetwarza dane wejściowe o dowolnej długości i produkuje stałą wartość hasha, zapewniając bezpieczeństwo i integralność w procesie wydobywania.