600MH/s
1000W
Realtime Data
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IceRiver AE3 (600MH) Profitability
Calculate the value of your AE3 (600MH) with our easy to use ASIC miner calculator!
Information
The IceRiver ALEO AE3 brings 600 Mh/s of pure zkSNARK mining capability to your operation, designed specifically for Aleo’s computational requirements. With only 1000W of power draw, it maintains a sleek 1.667 J/Mh efficiency—exceptional for modern proof systems.
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⛏️ Income ⛏️ |
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| DAY | MONTH | YEAR |
| $4.74 | $142.20 | $1,730.10 |
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⚡ Electricity Costs ⚡ |
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| DAY | MONTH | YEAR |
| $1.92 | $57.60 | $700.80 |
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💰 Profit 💰 |
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| DAY | MONTH | YEAR |
| $2.82 | $84.60 | $1,029.30 |
Information
The IceRiver AE3 (600MH) is currently mining $2.82 profit a day. The calculations is based on $4.74 income per day from which we deducted $1.92 electricity costs. This means the AE3 (600MH) is able to generate up to $142.20 income per month. After you would deduct the electricity price of $57.60 you will have an estimated profit of $84.60 per month.
Hint: With our Hosting Plans you will only pay around 0.08 USD per kWh.
If the BTC price reaches $138294 you would earn estimated $5.19 per day.
More Information
Compact and efficient, the AE3 runs whisper-quiet at 45 dB and operates smoothly from 5–45°C with up to 95% humidity. With Ethernet connectivity and universal voltage input, it's tailored for next-gen Aleo miners who demand quiet, consistent performance.
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.
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