English
German
Hungarian
Dutch
Spanish
French
Italian
Czech
Polish
Greek
Asic Miner Profitability
Our mining profitability calculator helps users quickly pinpoint the most lucrative mining options by delivering real-time data in multiple fiat and cryptocurrency currencies, including USD, EUR, GBP, AED, CAD, AUD, THB, ETH, and BTC. It allows precise electricity cost inputs up to three decimal places for highly accurate profit estimations. Users can access a clear overview of top-performing miners, algorithm-specific performance tables, and visually organized listings of mineable coins with recognizable cryptocurrency icons, simplifying decisions for maximum returns.
| Model | Hashrate |
Profitability
Profit
|
|---|---|---|
|
Goldshell ST-BOX
13.92KH/s
|
13.92 KH/s |
$-0.12/day
|
Our cutting-edge mining calculator offers comprehensive insights across all major cryptocurrency algorithms, helping users easily identify the most profitable options for their specific hardware. The algorithm data is continuously refreshed to keep pace with the dynamic crypto mining industry, providing accurate evaluations based on real-time profitability statistics and overall market activity. This empowers users to make well-informed choices that reflect the latest mining conditions and algorithm performance.
Bitcoin Mining Difficulty
Monitor the latest Bitcoin network difficulty metrics in real time, including block times & estimated time until the next difficulty adjustment.
Progress
Current progress:
61.51 %
Remaining Block
Blocks Left:
776
Remaining Time
Time Left:
~ 5 days 1 hours
Next Change
Upcoming change:
6.9 %
Block Time
Current Block Time:
9.4 minutes
What is CryptoNightR algorithm?
Why Should You Rely on Our Profit Calculator for Accurate Mining Insights?
Set the objective with precision: preserve open participation in mining and deny unfair advantages to specialized rigs. CryptoNight-R enforces this by stressing latency and memory pressure rather than raw arithmetic throughput. It drives a working set in a scratchpad of about two megabytes, with data-dependent reads that frustrate prefetchers and wide parallel pipelines. Use AES-based rounds that benefit commodity CPUs with AES-NI while still remaining viable on GPUs with sufficient bandwidth. Initialize state through Keccak-1600, iterate through an intensive mixing phase, then finalize with a randomized choice among Blake, Groestl, JH, or Skein to scatter any residual structure. Vary access patterns between blocks to spoil precomputation and cached templates. Alter the sequence slightly over time to degrade fixed-function ASIC and FPGA designs. Force hardware to chase unpredictable pointers, and you force it to stall, which evens the field. The outcome reduces the payoff of massive SIMD replication and narrow-cache accelerators. This differs from SHA-256 families that favor dense compute and fixed scheduling, and it leans away from Ethash’s DAG by pushing latency sensitivity more aggressively. The broader CryptoNight lineage aimed at decentralization by keeping memory the main cost driver, which raises the bar for custom silicon without locking out consumer machines. ASICs did appear for early variants, so networks answered with revisions like CryptoNight v7 and CryptoNight-R, and later with RandomX, which escalated to large per-thread memory and a just-in-time virtual machine design. Privacy on chains that used CryptoNight stays anchored by ring signatures, stealth addresses, and key images, which hide sender linkages and block double-spend correlation while remaining verifiable. Steer attention to the security tradeoff correctly: memory hardness does not prevent a majority attack on its own, but it helps distribute hash power and raises the capital and engineering hurdles for centralization. Favor algorithms that keep latency critical, mix cryptographic primitives prudently, and inject minor per-block variability to resist template optimization. In practice this preserves miner diversity, reduces vendor lock-in, and sustains a moving target that aligns with decentralization and confidentiality.
Latest ASIC Miners
Check out the latest ASIC miners added to our site. These are the newest listings, featuring the most recent models.
V3
Nerdminer
AE3
IceRiver
Antminer L11 Hyd 2U
Bitmain
Why ASIC Mining?
The Advantages of ASIC Mining Compared to Other Mining Types
ASIC (Application-Specific Integrated Circuit) mining involves specialized hardware designed exclusively for mining cryptocurrencies like Bitcoin, offering unmatched efficiency and performance. Unlike general-purpose GPUs, ASICs are optimized for specific algorithms, delivering significantly higher hashrates while consuming less power per hash. This makes them far superior for mining tasks, as they maximize profitability by reducing electricity costs and increasing mining output. ASIC miners are purpose-built, providing stability and reliability in high-demand mining environments, unlike GPUs which are prone to overheating and wear during prolonged use. Their compact design also allows for easier scalability in large mining operations. By focusing solely on mining, ASICs eliminate the overhead of multi-purpose computing, resulting in faster block-solving times. This efficiency translates to higher rewards, making ASICs the preferred choice for serious miners aiming to stay competitive in the cryptocurrency market. In contrast, GPU mining, while versatile, cannot match the raw power and cost-effectiveness of ASICs for dedicated mining tasks.
Optimized for Mining
Energy Efficient
Reliable & Stable
Scalable
More about the CryptoNightR algorithm
See how our profit calculator delivers accurate, real-time mining insights, helping miners make informed decisions.
CryptoNight-R sharpens the original CryptoNight design with targeted, ASIC-thwarting adjustments, using a memory-hard architecture that forces substantial RAM utilization, random memory accesses, and latency-bound work so that consumer CPUs and GPUs compete on nearly equal footing; in practice, miners initialize a multi-megabyte scratchpad (commonly around 2 MB) with pseudo-random data, iterate through numerous AES-based transformations, and finalize with a cascade of cryptographic hashes drawn from Keccak-1600, Blake, Groestl, JH, and Skein, a sequence that prioritizes bandwidth and cache behavior over raw arithmetic density and thus limits the structural edge of specialized silicon compared with SHA-256 or even Ethash; at the protocol layer, ring signatures conceal the sender among plausible decoys, stealth addresses shield the recipient, and RingCT hides transferred amounts, together rendering external tracing highly uncertain and protecting routine transactions from forensic scrutiny; strategically, the algorithm’s memory intensity and periodic parameter shifts dilute the risk of hashpower monocultures and raise the economic bar for any coordinated majority attack, while broad, CPU-friendly participation disperses hashrate across geography and hardware classes, reinforcing network integrity; although ASICs eventually emerged for earlier CryptoNight variants, transitional updates like CryptoNight-R-and ultimately Monero’s move to RandomX-restored general-purpose mining as the default, preserving decentralization while leaving CryptoNight as a pivotal milestone in the evolution of privacy-preserving proof-of-work; in practical terms, miners can benchmark and tune via profitability estimations that account for power draw, pool fees, and hardware efficiency, and can improve throughput with system-level optimizations such as enabling huge pages, aligning NUMA memory, and targeting larger L3 caches, all of which elevate inclusive participation where the gods of privacy feel like allies and the monsters of centralization are kept close enough to watch but too weak to rule.
