TypeGPU and ruNNtime setup reportedly runs AI inference and rendering in real time

A user describes a setup combining TypeGPU, ruNNtime and Jev that runs three separate neural-network inferences plus rendering in real time. They credit ruNNtime with efficient local inference and TypeGPU with letting inference and rendering share GPU resources without copying data. They outline a pipeline that takes camera and microphone input through Moonshine, YOLO26 and DepthART, then Jev, to produce lights, shadows and bloom effects. Jev, they say, can sit between the models and rendering to add the semantic component.