We have a Windows Server 2016 with around physical 700GB RAM. A colleague of mine ran a machine learning script in Matlab, that loaded 25GB of data in RAM and during the training the RAM usage increased up to 350GB (usual behavior for many AI algorithms during training). This led to a big drop in performance for many other people (including the colleague who did this). He tried stopping it by force stoping the Matlab process tree (one node only) from the Task Manager.
The process is still "stopping" 2 hours later. We noticed that the RAM usage is gradually dropping but with around 200KB/s. Restarting the machine is currently not possible.
Any idea what is going on here? Normally killing a process should go past gentle shutdown procedures. At least this is my experience.
Update: a day later and the Matlab process has increased the RAM usage to 357GB