Speculation: OP might be concerned that the GT1030 is not fast enough for the rendering task.
Generally speaking, for CUDA work that requires a minimum of graphics output (or none), choosing a fast GPU for compute and a cheap low-end GPU to drive the display (OS GUI, etc) is fine.
However, if a CUDA accelerated application also has complex rendering requirements (e.g. molecule visualization), one may need a fast GPU for that, too. I seem to recall that in the past, people deployed workstations equipped with a Tesla/Quadro combo for such use cases. That was when there were still actively-cooled Teslas for workstations; no idea what people deploy for these use cases today.
The usual suggestion for workstation compute would be multiple Quadro cards. On windows, most Quadros can be placed in TCC mode. Place your compute Quadro in TCC mode. On linux, simply don’t extend your X-server to the compute Quadro.
Graphics, vis, interop would all be directed (automatically) to the display Quadro. CUDA compute tasks would be directed to the compute Quadro.