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Optimizing RTX 3090 for Efficiency and Increased Hashrate

Updated on Mar 26,2024

Optimizing RTX 3090 for Efficiency and Increased Hashrate

Table of Contents

  1. Introduction
  2. testing the Power Draw of the 3090
  3. Efficiency of Gold Rated ATX Power Supply
  4. Software Power vs. Efficiency of PSU
  5. Different Power Supply Ratings
  6. Results and Settings
  7. Core and Memory Clock Settings
  8. Fan Speed and Power Consumption
  9. Comparison with Other GPUs on Ethereum
  10. Conclusion

Introduction

Welcome to the Rabbi YouTube Channel! In today's video, we will be discussing and testing the power draw of the 3090 graphics card. Many users have been curious about the power efficiency of this popular graphics processing unit (GPU). We will be examining the power consumption and efficiency of the 3090, as well as exploring different settings and configurations to optimize its performance.

Testing the Power Draw of the 3090

As a user of the 3090 for several months, I had been relying on internet settings to gauge its power draw. However, I realized that it was time to conduct my own tests to verify the actual power consumption of the GPU. This would allow me to make the necessary adjustments to improve its efficiency.

Efficiency of Gold Rated ATX Power Supply

Before diving into the testing, it's important to note that I conducted all the tests using a gold rated ATX power supply. This means that the power supply has an efficiency rating of 87% at 20% load, 90% at 50% load, and 87% at 100% load. These ratings are important to consider when analyzing the power consumption of the 3090.

Software Power vs. Efficiency of PSU

There has been some debate regarding the power efficiency of software readings versus the actual efficiency of the power supply. It is true that software power readings are lower due to the need to consider the PSU's efficiency. However, it is worth mentioning that most miners using ATX power supplies opt for gold rated PSUs, which Align with the numbers I will be discussing.

Different Power Supply Ratings

In the future, I plan to test the power draw of the 3090 with different power supply ratings, including bronze and titanium. This will provide a comprehensive comparison of how different power supply ratings affect the power consumption of the GPU.

Results and Settings

After conducting various tests, I found the following settings to be the most efficient for the 3090. Using a core clock of 1000 and a memory clock of 2400, the software indicated a power draw of 278 watts, with 314 watts measured at the wall. This resulted in a hash rate of 109.7 mega hashes per Second (MH/s) and a hash-to-watt ratio of 0.349.

Continuously adjusting the settings, we managed to optimize the power consumption of the 3090. It's important to note that these settings were achieved using Hive OS, and if you are using Windows, you would need to halve these values.

Core and Memory Clock Settings

Through experimentation, I discovered that increasing the core clock to 1120 and the memory clock to 2800 resulted in a power draw of 338 watts at the wall. This configuration achieved a hash rate of 123 MH/s, with a hash-to-watt ratio of 0.358.

Fan Speed and Power Consumption

I also experimented with fan speeds to gauge their impact on power consumption. Increasing the fans from 65% to 99% resulted in a temperature drop but added an additional 4 watts of power consumption at the wall. It's essential to consider the cumulative effect of multiple GPUs if you have a large-Scale mining setup with numerous fans.

Comparison with Other GPUs on Ethereum

In terms of efficiency, it's worth comparing the 3090 with other GPUs, specifically the A2000. On Ethereum, the A2000 achieves a hash-to-watt ratio of 0.539, making it one of the most efficient GPUs for mining on this network. However, in comparison to other 3000 series GPUs, the 3090 exhibits lower efficiency, which we will explore further in future videos.

Conclusion

In conclusion, through rigorous testing and experimentation, we found optimal settings for the 3090 to improve its power efficiency. It's essential to strike a balance between performance and power consumption, especially when mining cryptocurrencies. By adjusting core and memory clock settings, as well as fan speeds, it is possible to achieve a more efficient 3090 mining setup.

Stay tuned for future videos where we explore and compare other GPUs, such as the A2000 and various 3000 series GPUs, to determine the best options for mining Ethereum and other cryptocurrencies.

Highlights:

  • Tested the power draw of the 3090 GPU to optimize efficiency.
  • Utilized a gold rated ATX power supply for accurate results.
  • Examined the impact of software power readings and PSU efficiency.
  • Future plans to test the power draw with different power supply ratings.
  • Identified the most efficient settings for the 3090 GPU.
  • Explored the influence of core and memory clock settings on power consumption.
  • Investigated the effect of fan speed on power usage.
  • Compared the 3090's efficiency with other GPUs, specifically the A2000.
  • Balanced performance and power consumption for optimal mining setup.

FAQ:

Q: Can these settings be applied to other GPUs? A: The settings provided are specific to the 3090 GPU. However, it is worth experimenting with similar adjustments for other GPUs to optimize their power consumption and performance.

Q: How does the 3090 compare to the A2000 in terms of efficiency? A: The A2000 outperforms the 3090 in terms of efficiency, achieving a higher hash-to-watt ratio on Ethereum. However, the 3090 offers superior performance in other mining scenarios.

Resources:

Upgrade Your Gaming Experience: GTX 1080 vs RTX 3090 Comparison
Revolutionize Your Digital Signage Strategy with Powercast X

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