Docker Desktop VM crashes with message: DockerDesktopVM' failed to start

I am using Docker to run a Scrapy-Splash container and I am only able to run my application smoothly for the first few hours but then it without fails slows down to a snail's pace which I presume that Docker is the culprit for. Then once I try to reset it (even resetting the whole computer itself), Docker typically crashes with this error report:

System.InvalidOperationException:
job failed with message: 'DockerDesktopVM' failed to start. (Virtual machine ID 3B6A953B-0E3B-457E-A4BB-7FBB2EA5EE54)

'DockerDesktopVM' Microsoft Video Monitor: Failed to finish reserving resources with Error 'Unspecified error' (0x80004005). (Virtual machine ID 3B6A953B-0E3B-457E-A4BB-7FBB2EA5EE54)
   at Docker.Backend.HyperVInfrastructure.HandleUpdatedJob(CIMConcreteJob updatedJob) in C:\workspaces\stable-2.5.x\src\github.com\docker\pinata\win\src\Docker.Backend\HyperV\HyperVInfrastructure.cs:line 762
   at Docker.Backend.HyperVInfrastructure.<HandleMaybeAsyncJob>d__38.MoveNext() in C:\workspaces\stable-2.5.x\src\github.com\docker\pinata\win\src\Docker.Backend\HyperV\HyperVInfrastructure.cs:line 696
--- End of stack trace from previous location where exception was thrown ---
   at System.Runtime.ExceptionServices.ExceptionDispatchInfo.Throw()
   at Docker.Backend.HyperVInfrastructure.<StartVMAsync>d__30.MoveNext() in C:\workspaces\stable-2.5.x\src\github.com\docker\pinata\win\src\Docker.Backend\HyperV\HyperVInfrastructure.cs:line 544
--- End of stack trace from previous location where exception was thrown ---
   at System.Runtime.ExceptionServices.ExceptionDispatchInfo.Throw()
   at System.Runtime.CompilerServices.TaskAwaiter.HandleNonSuccessAndDebuggerNotification(Task task)
   at Docker.Backend.HyperV.<StartAsync>d__7.MoveNext() in C:\workspaces\stable-2.5.x\src\github.com\docker\pinata\win\src\Docker.Backend\HyperV\HyperV.cs:line 101
--- End of stack trace from previous location where exception was thrown ---
   at System.Runtime.ExceptionServices.ExceptionDispatchInfo.Throw()
   at System.Runtime.CompilerServices.TaskAwaiter.HandleNonSuccessAndDebuggerNotification(Task task)
   at Docker.Backend.HttpAPI.HyperVController.<StartAsync>d__8.MoveNext() in C:\workspaces\stable-2.5.x\src\github.com\docker\pinata\win\src\Docker.Backend\HttpAPI\HyperVController.cs:line 44
--- End of stack trace from previous location where exception was thrown ---
   at System.Runtime.ExceptionServices.ExceptionDispatchInfo.Throw()
   at System.Runtime.CompilerServices.TaskAwaiter.HandleNonSuccessAndDebuggerNotification(Task task)
   at System.Threading.Tasks.TaskHelpersExtensions.<CastToObject>d__1`1.MoveNext()
--- End of stack trace from previous location where exception was thrown ---
   at System.Runtime.ExceptionServices.ExceptionDispatchInfo.Throw()
   at System.Runtime.CompilerServices.TaskAwaiter.HandleNonSuccessAndDebuggerNotification(Task task)
   at System.Web.Http.Controllers.ApiControllerActionInvoker.<InvokeActionAsyncCore>d__1.MoveNext()
--- End of stack trace from previous location where exception was thrown ---
   at System.Runtime.ExceptionServices.ExceptionDispatchInfo.Throw()
   at System.Runtime.CompilerServices.TaskAwaiter.HandleNonSuccessAndDebuggerNotification(Task task)
   at System.Web.Http.Controllers.ActionFilterResult.<ExecuteAsync>d__5.MoveNext()
--- End of stack trace from previous location where exception was thrown ---
   at System.Runtime.ExceptionServices.ExceptionDispatchInfo.Throw()
   at System.Runtime.CompilerServices.TaskAwaiter.HandleNonSuccessAndDebuggerNotification(Task task)
   at System.Web.Http.Dispatcher.HttpControllerDispatcher.<SendAsync>d__15.MoveNext()

Please note that I have already increased the resources:

• CPU: 3
• Memory: 4GB
• Swap: 3GB
• Disk Image Size: 104GB

This is really infuriating me and I don't know how to keep my Docker container in a steady and efficient state. Usually what I have to do to get things up and running again is to perform a "Reset to factory defaults", reinstall the Scrapy-Splash container and rerun it only for the whole issue to repeat itself. I would like for my application to be able to run smoothly for hours on end and so I am wondering if there is anything I can do make my Docker container stable?