The Key Role Of Automation In AI Hardware Recycling

When disruptive innovations like generative AI come along, entire industries are left scampering to keep up. For the large tech companiesHowever, the innovation driving these infrastructure upgrades is coming at a huge cost to the environment as older data center hardware is phased out. When that time comes, data centers have two options: scrap the old equipment or go out of their way to find a recycling solution.

Due to the delicate nature of electronics, there is a high potential for accidental damage and human error. As a result, manual disassembly fails to recover all usable components. These complications help explain whyof the IT hardware in data centers is being recycled each year, but convenience doesn’t justify the harm caused to the environment. Apart from e-waste ending up in landfills, precious metals and other valuable materials are lost when servers are not broken down.

One key way of reducing an organization’s data center waste footprint is employing automation and turning to software-driven disassembly lines that can inspect parts and safely disassemble delicate components, instead of relying on manual labor.Compared to manual labor, automated robotic lines can disassemble faster and more precisely than humans can, enabling recycling programs to scale to meet the tens of millions of servers decommissioned each year.

Source: Tech Daily Report (techdailyreport.net)

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