720MH/s
1300W
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Last Update: 09:27
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Iceriver AE2 (720MH) Profitability
Calculate the value of your AE2 (720MH) with our easy to use ASIC miner calculator!
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The IceRiver AE2 delivers a breakthrough in zkSNARK mining with 720MH/s of processing power at only 1300W. Built specifically for Aleo, it brings next-level efficiency at just 1.8 J/MH, setting a new benchmark in profitable mining operations.
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⛏️ Income ⛏️ |
||
| DAY | MONTH | YEAR |
| $27.42 | $822.53 | $10,007.49 |
|
⚡ Electricity Costs ⚡ |
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| DAY | MONTH | YEAR |
| $2.50 | $74.88 | $911.04 |
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💰 Profit 💰 |
||
| DAY | MONTH | YEAR |
| $24.92 | $747.65 | $9,096.45 |
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The Iceriver AE2 (720MH) is currently mining $24.92 profit a day. The calculations is based on $27.42 income per day from which we deducted $2.50 electricity costs. This means the AE2 (720MH) is able to generate up to $822.53 income per month. After you would deduct the electricity price of $74.88 you will have an estimated profit of $747.65 per month.
Hint: With our Hosting Plans you will only pay around 0.08 USD per kWh.
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If the BTC price reaches $160386 you would earn estimated $38.63 per day.
More Information
Compact and ultra-quiet at just 45dB, the AE2 fits seamlessly into varied mining setups. With Ethernet connectivity, wide voltage support, and robust environmental tolerance, it's ready to run stable and efficient—wherever you deploy it.
Algorithm Information: zkSNARK
zkSNARK (Zero-Knowledge Succinct Non-Interactive Argument of Knowledge) is an advanced cryptographic proof system that allows data verification without exposing underlying information. This makes it essential for privacy-focused blockchain applications like Aleo, ensuring secure, confidential transactions. The algorithm relies on complex elliptic curve computations, demanding high-performance mining setups optimized for cryptographic workloads. Miners employ GPU and ASIC acceleration to enhance proof generation efficiency, reducing the time needed to compute and verify transactions. FPGA-based implementations also improve energy efficiency, enabling scalable zkSNARK mining. As adoption grows, further optimizations focus on parallelizing proof generation while minimizing memory bottlenecks.