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The Dangers of Running Four RTX 5090 GPUs: A Cautionary Tale
Imagine the sheer power of four RTX 5090 GPUs running in unison, pushing the limits of performance and processing. While this setup may seem like a dream for many gamers and tech enthusiasts, one Reddit user learned the hard way that this configuration can quickly turn into a nightmare.
The Power Consumption Challenge
At maximum load, each RTX 5090 GPU can consume a staggering 575W, totaling 2,300W for all four cards. This immense power draw poses a significant challenge to the standard safety measures, such as a 13A fuse, commonly used in household setups.
One user, known as “u/Zo0x78,” shared their experience of a melted power plug and socket due to the excessive power demands of the quad-RTX 5090 setup. The 13A fuse proved inadequate to handle the raw power throughput, leading to irreversible damage.
Protecting Your Hardware
To prevent a similar catastrophe, experts advise power limiting the GPUs to reduce the strain on the connectors and electrical components. While these GPUs are capable of running advanced AI models and demanding tasks, ensuring the safety of the hardware should be a top priority.
Upgrading to a 16A or 20A wall socket can provide better support for the power requirements of multiple high-end GPUs. Additionally, using high-quality plugs and connectors is essential to avoid potential hazards and equipment failures.
Lessons Learned
While some speculate that poor contact between the plug and socket or subpar quality components may have contributed to the meltdown, the incident serves as a cautionary tale for enthusiasts exploring extreme hardware configurations.
In the world of high-performance computing, overlooking safety measures can have costly consequences. It is crucial to assess the power requirements of your system and invest in robust infrastructure to prevent any unforeseen mishaps.
Original Story: Reddit
About the author: Omar Sohail is a reporter and analyst specializing in the technology and business of the mobile industry. His expertise covers developments in semiconductor manufacturing, chip lithography, and camera sensor technology.
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