Summary of Reddit Comments on Pulse RX580 Power Consumption

Pulse RX580 Power Consumption

• The displayed wattage may be inaccurate, potentially due to a sensing issue rather than actual high power consumption.
• Suggestions to ignore issues with memory if not impacting performance, but address if it affects performance significantly.
• Recommendations to adjust fan settings to ensure proper cooling.
• Concerns about high power consumption and potential issues with BIOS modding.
• Anecdotal reports of lower power consumption per GPU in Windows, around 85-90 watts.
• Instructions provided for modding BIOS to improve hashrate.
• Some users indicated high power usage, similar to 200 watts per card.
• Caution against relying on GPU-Z power readings for accurate power usage.
• Various figures provided on hashrates and power consumption for different GPU models when mining.
• Recommendations for specific GPUs like RX6600 and 6700XT for better performance and compatibility.
• Concerns raised about high idle power usage on Arc cards compared to AMD alternatives.
• Users recommended against specific Arc models for Linux gaming.
• Suggestions for choosing AMD GPUs like RX6600 for a good gaming experience at 1080p and on Linux.
• Concerns about the low performance and high price of the RX 6500 XT.
• Criticism of AMD for price increases and lack of substantial improvements in price-to-performance ratio.
• Various tips for improving performance and diagnosing issues with FPS drops and fan curves.
• Suggestions for GPU upgrades like the RX 570 and the RX 5500 XT.
• Praises for Sapphire GPUs for hackintoshing and performance.
• Recommendations for PSU requirements when adding RX580 or 5500XT to a system.
• Considerations for GPU repairs and issues like high idle temperatures.
• Caution against potential issues when purchasing a pre-owned GPU and suggestions for possible solutions.

In conclusion, the Reddit comments provided insights into Pulse RX580 power consumption, mining performances, GPU comparisons, and recommendations for GPU choices based on efficiency, compatibility, and price.