Compute hardware obsolescence can occur even while a machine still functions. New accelerators may deliver more performance, memory or efficiency, reducing what buyers are willing to pay for older capacity.
Long-term commitments amplify the risk when hardware generations change faster than contracts expire. Software support, energy costs and model requirements can also make an older cluster less useful before its physical end of life.
ELI5
Compute hardware obsolescence means working equipment becomes less useful or valuable because newer systems are faster, cheaper to operate or better suited to current software. The old machine does not need to be broken to become outdated.
For example, an older accelerator cluster may use twice as much electricity to train the same AI model as a new cluster. A long contract for the older hardware can therefore become expensive even though every machine still works.
