Becoming scrap when servers are retired? Microsoft’s old账 worth re-evaluating
When it comes to AI investments, people love counting how many new devices they bought. Where those older devices go after they leave the data center also affects the cost of this business.
In an official article published by Microsoft on September 30, it disclosed that last year’s reuse and recycling rate for retired servers and components reached 92%. Complete systems can be moved to labs and teaching scenarios, or sold to qualified buyers; individual parts can also be used as spare components.
But 92% doesn’t mean recovering 92% of the purchase price. How many devices were processed and how much cash was ultimately recovered are not the same number.
My view is that retiring equipment doesn’t necessarily mean its value becomes zero. But the remaining value also can’t be conjured up: you have to account for whether there are buyers, how much it costs to disassemble and securely wipe data, and whether continuing to run it is actually worthwhile.
Just because a machine can still run doesn’t mean it’s worth occupying the most expensive data center space and power. Moving it to a lighter-load environment to keep serving may be more reasonable than keeping it in place. This is a cost analysis—not a profit forecast provided by Microsoft.
When reading narratives involving compute or storage resources—like RENDER, FIL, or AR—I also ask about the fate of the hardware after upgrades. You can’t simply translate a cloud provider’s experience into token price increase assumptions.
Buy new machines according to your budget. How old machines are phased out is about the whole ledger.
$RENDER $FIL $AR
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When it comes to AI investments, people love counting how many new devices they bought. Where those older devices go after they leave the data center also affects the cost of this business.
In an official article published by Microsoft on September 30, it disclosed that last year’s reuse and recycling rate for retired servers and components reached 92%. Complete systems can be moved to labs and teaching scenarios, or sold to qualified buyers; individual parts can also be used as spare components.
But 92% doesn’t mean recovering 92% of the purchase price. How many devices were processed and how much cash was ultimately recovered are not the same number.
My view is that retiring equipment doesn’t necessarily mean its value becomes zero. But the remaining value also can’t be conjured up: you have to account for whether there are buyers, how much it costs to disassemble and securely wipe data, and whether continuing to run it is actually worthwhile.
Just because a machine can still run doesn’t mean it’s worth occupying the most expensive data center space and power. Moving it to a lighter-load environment to keep serving may be more reasonable than keeping it in place. This is a cost analysis—not a profit forecast provided by Microsoft.
When reading narratives involving compute or storage resources—like RENDER, FIL, or AR—I also ask about the fate of the hardware after upgrades. You can’t simply translate a cloud provider’s experience into token price increase assumptions.
Buy new machines according to your budget. How old machines are phased out is about the whole ledger.
$RENDER $FIL $AR
Tap my avatar to view live trading with orders
