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grc: 0.00001398 | btc: 2,698.01

Thanks to Quez for putting this information together

Tactical Mining / Research

Foreword: Mining means researching in the Gridcoin world. Research is never bad. It's a good thing to do, especially if you like to participate in a research field that you are interested in. The following guide is not meant to stop you from doing research for your favorite projects. Its purpose is to show you how you can optimize your Gridcoin earnings. This might include that you will work on projects that have no scientific purpose if you follow this guide.

First of all:

This guide does not claim to be perfect as many variables have to be considered to find the best GRC/kWh projects.
The basics:

Advanced hints:

Have a look on http://gridcoinstats.eu/projects.php. This is the homepage of a so called block explorer. You can see a list of all whitelisted projects. The more TeamRAC a project has, the more competitive it is. GPUs generate more BOINC credits or RAC (Recent Average Credit) than CPUs, so you see GPU projects on the top end of the list with more TeamRAC (once you sorted for Team RAC). For example, compare Leiden Classical (pure CPU) with GPUgrid (GPU workunits). They have a similar number of participants but the TeamRAC of GPUgrid is way higher. CPUs have a better GRC/kWh ratio than GPUs. Let's focus on CPU only projects. The ~20 projects with the lowest TeamRAC are most probably CPU only projects or do not have GPU workunits very often. You can cross reference with https://boinc.berkeley.edu/projects.php. This list indicates what hardware you can use in which project, but is not necessarily up to date and contains non-whitelisted projects. Conclusion: Choose the project(s) with the lowest TeamRAC to get the best GRC/kWh ratio. But be aware, sometimes projects do have special requirements (e.g. high RAM requirements, virtualization necessary...), give less-than-average credits/RAC or do not have a constant workunit flow, which is why they have low TeamRAC. Optimization of GRC mining is more like trial-and-error, but this guide shows you the best way to start.

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