Home > Servers > Rack and Tower Servers > AMD > White Papers > Finish machine learning preparation tasks on Kubernetes containers in less time with the PowerEdge R7525 > Conclusion
Because machine learning requires dozens, hundreds, or even thousands of iterative cycles, time you save in one step of the process can save more time in the long run. A solution that can save time during the preparation phase of machine learning could speed the time it takes to train your algorithm to detect manufacturing errors, hidden pathologies, and more.
In our tests comparing a Dell EMC PowerEdge R7525 to an HPE ProLiant DL380 Gen10 server, we found that the Dell EMC server:
Though businesses will most often run Kubernetes machine learning workloads on clusters with many nodes, our results should encourage large businesses to explore the potential benefits of the Dell EMC PowerEdge R7525.