3
Dec 2022
Radiant (RXD) is one other mission that’s shortly catching up with crypto miners, so we’re going to be sharing some recommendations on how one can optimize Nvidia GPUs for higher efficiency with decrease energy utilization for mining RXD with the Bzminer software program. Radiant makes use of the SHA512256d algorithm, one other GPU-intensive algorithm, so you possibly can go as little as attainable with the video reminiscence and better on the GPU clock to get higher efficiency with decrease energy utilization for this one. AMD GPU miners eager about mining Radiant (RXD) ought to go for the SRBMiner-MULTI CPU & AMD GPU Miner 1.1.3 software program, nevertheless it doesn’t include so superior GPU clocking options, so that you would possibly want to make use of totally different instruments in attempting to optimize the {hardware}. Right here we’ll be specializing in Nvidia GPUs solely and Bzminer.
We’re going to be utilizing the most recent Bzminer v12.1.1 as mining software program for the examples under and canopy a number of the common Nvidia GPUs fo rmining with settings and anticipated hashrate and energy utilization. Clearly, we’re going to be setting the GPU clock to the next fastened frequency (oc_lock_core_clock) and the reminiscence clock (oc_lock_memory_clock) to the bottom attainable fastened frequency and we’ll add within the core offset (oc_core_clock_offset) to additional decrease the ability utilization by reducing the voltage of the core. Within the examples under don’t forget to alter the pool if you need and likewise set your Radian pockets tackle within the place of the YOUR_RXD_WALLET, additionally don’t forget that you want to run Bzminer as administrator with the intention to for the OC settings to perform!
Nvidia GeForce RTX 3090 GPU working at 1.53 GH/s hashrate with round 170W of energy utilization:
bzminer -a radiant -p stratum+tcp://stratum-eu.rplant.xyz:7086 -w YOUR_RXD_WALLET –oc_lock_core_clock 1800 –oc_lock_memory_clock 807 –oc_core_clock_offset 350 –nc 1
Nvidia GeForce RTX 3090 GPU working at 1.21 GH/s hashrate with round 130W of energy utilization:
bzminer -a radiant -p stratum+tcp://stratum-eu.rplant.xyz:7086 -w YOUR_RXD_WALLET –oc_lock_core_clock 1410 –oc_lock_memory_clock 807 –oc_core_clock_offset 350 –nc 1
Nvidia GeForce RTX 3080 GPU working at 1.23 GH/s hashrate with round 145W of energy utilization:
bzminer -a radiant -p stratum+tcp://stratum-eu.rplant.xyz:7086 -w YOUR_RXD_WALLET –oc_lock_core_clock 1750 –oc_lock_memory_clock 810 –oc_core_clock_offset 250 –nc 1
Nvidia GeForce RTX 3080 GPU working at 1.00 GH/s hashrate with round 115W of energy utilization:
bzminer -a radiant -p stratum+tcp://stratum-eu.rplant.xyz:7086 -w YOUR_RXD_WALLET –oc_lock_core_clock 1425 –oc_lock_memory_clock 810 –oc_core_clock_offset 250 –nc 1
Nvidia GeForce RTX 3070 Ti GPU working at 0.85 GH/s hashrate with round 130W of energy utilization:
bzminer -a radiant -p stratum+tcp://stratum-eu.rplant.xyz:7086 -w 1YOUR_RXD_WALLET –oc_lock_core_clock 1710 –oc_lock_memory_clock 810 –oc_core_clock_offset 350 –nc 1
Nvidia GeForce RTX 3070 GPU working at 0.815 GH/s hashrate with round 90W of energy utilization:
bzminer -a radiant -p stratum+tcp://stratum-eu.rplant.xyz:7086 -w YOUR_RXD_WALLET –oc_lock_core_clock 1710 –oc_lock_memory_clock 810 –oc_core_clock_offset 350 –nc 1
Nvidia GeForce GTX 1080 Ti GPU working at 0.565 GH/s hashrate with round 100W of energy utilization:
bzminer -a radiant -p stratum+tcp://stratum-eu.rplant.xyz:7086 -w YOUR_RXD_WALLET –oc_lock_core_clock 1550 –oc_lock_memory_clock 810 –oc_core_clock_offset 250 –nc 1
Some extra helpful suggestions for anybody that wishes to experiment with these settings above. We now have offered good place to begin when it comes to frequency and offset that must be steady on most GPUs, nevertheless relying in your particular {hardware} and situations you would possibly have the ability to go up a bit for additional efficiency or energy financial savings otherwise you would possibly have to go decrease for attaining good stability. If Bzminer crashes or restarts you would possibly wish to begin by reducing the setting of the oc_core_clock_offset parameter, that may result in barely greater energy utilization. If reducing the offset doesn’t assist, then maintain its worth and take a look at reducing the GPU clock a bit. The video reminiscence setting is already on the minimal stage, so there isn’t any have to play with the clocks there.
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