Benchmarking surplus Tesla GPUs shows viable path for cost-conscious ML

A maker tested 15 used enterprise GPUs (Tesla K80s, P100s, V100s) against modern ML workloads to see if cheap e-waste hardware could replace expensive new chips. The results suggest older datacenter GPUs remain practical for training and inference, offering a legitimate cost reduction strategy for bootstrapped AI projects.