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Aleo mining profit increase: a complete explanation of the mining logic behind it
Consensus Mechanism Upgrade, Aleo Mining Incentive Restructuring
Aleo is making the final push for mainnet launch, with a key adjustment directly affecting mining rewards. According to the latest code update, the protocol output ratio of Proof of Stake (PoS) and Simplified Work Proof (PoSW) has been optimized. The Coinbase reward coefficient for PoSW has increased from 1/2 to 2/3, meaning miners’ contributions in the network are rewarded more generously.
Specifically, this adjustment results in a 16.6% increase in Coinbase rewards for miners, which is a significant positive for the mining economic model. Why is the project team doing this? Whether it’s attracting participants to find bugs during the incentive testnet phase or strengthening network stability during the early mainnet, sufficient reward incentives are needed to attract computational power. Therefore, the profit advantage during the initial mining period will further expand, making this time window even more critical for miners looking to enter.
Three-Dimensional Evaluation Framework for Hardware Configuration Selection
When choosing hardware for Aleo mining, the core metric to consider is cost-performance ratio. Ultimately, the competition is about computational output. If, under the same hash rate, configuration differences cause costs to increase three to four times, even high-end hardware will see a significant decline in return on investment.
Considering that Aleo mining will gradually shift toward ASIC miners in the later stages, hardware’s value retention and liquidity become key considerations. Balancing these three dimensions, it is recommended to select equipment that has been in circulation for about 3 years in the market, for reasons including:
Cost and Availability: Such equipment has minimal premium margins, generally lower prices, effectively reducing mining costs. Additionally, models and quantities are sufficient for rapid large-scale deployment.
Market Liquidity: Older models have high circulation, allowing large quantities to be sold later with quick market absorption. High-end hardware, on the other hand, may face sluggish sales.
For specific standards on choosing CPU, GPU, memory, and other main components, as well as detailed parameters for motherboards, hard drives, power supplies, and cases, systematic comparison can save at least 40% of the total mining machine cost. These selection criteria should be dynamically adjusted based on real-time market prices.
Aleo Mining Path: Solo or Join a Mining Pool
This choice cannot be generalized; it depends on individual circumstances:
For large hash power miners: the solo route: If you come from Ethereum mining and possess a large number of available GPUs or have purchased hundreds of GPUs, solo mining is the better choice. Your own equipment essentially forms a private mining pool. The advantage is that block rewards can be settled and sold on the same day, offering higher liquidity and better risk control. The key is to find top-tier service providers capable of optimizing hash power.
For small retail miners: semi-solo mode: If you have the hardware foundation and some technical ability, with a medium-scale GPU setup, you might consider independent mining. This mode requires at least two SSDs for enhanced security redundancy. The downside is that you must bear the risk of luck-based fluctuations—if you mine a block, you get the full reward; if not, no income, with some randomness involved. Before the final code freeze, mining configurations and strategies are still being adjusted. Solo mining requires more effort to keep up and optimize.
Pure small retail hosting方案: If lacking technical background, the most practical approach is to buy mining machines through reliable channels and choose professional hosting. After the mainnet launches, periodically check your earnings. This model outsources operational complexity, reducing operational risks.
Head Miner Algorithm Optimization Becomes the Focus of Hash Power Competition
Aleo uses GPU mining, and the optimization of the hashing algorithm directly determines mining efficiency and reward stability. How to assess algorithm capability? During the three test phases, the official established dedicated channels in the community to showcase performance data of various mining pools, with many participants involved. However, as the official algorithm was modified and the code not fully frozen, previous test data became invalid. In the new round of testing, all parties are on equal footing, competing on the speed and quality of algorithm optimization.
According to community meetings, the new testnet Beta is about to launch, and all parties will once again compete. Whether a new dark horse will emerge remains to be seen. Continuously tracking each team’s optimization progress helps in making better choices for hashing algorithms.
Strategic Judgment of the Head Mining Window
As Aleo mining rewards increase, more hash power will be attracted, intensifying competition for this prime resource. To achieve optimal returns, early deployment is essential, capturing key timing windows. At the same time, maintain rational decision-making—avoid being driven by marketing hype or participating in last-stage high-price buy-ins. Through the systematic analysis of hardware, path, and technology dimensions outlined above, participants in Aleo mining can make more optimal strategic choices.