@reczko_konrad combines TypeGPU, ruNNtime, and TypeSafe Jev: local inference and rendering share the GPU with zero copy, three neural nets plus rendering run in real time, and Jev adds the semantic step from camera and mic (Moonshine, YOLO26, DepthART) to lights, shadows, and bloom.

Konrad Reczko (@reczko_konrad) published this on 2026-09-17. @reczko_konrad combines TypeGPU, ruNNtime, and TypeSafe Jev: local inference and rendering share the GPU with zero copy, three neural nets plus rendering run in real time, and Jev adds the semantic step from camera and mic (Moonshine, YOLO26, DepthART) to lights, shadows, and bloom. TypeGPU + ruNNtime + Jev @typesafeai is a very fun combo :D ruNNtime gives me efficient local inference, TypeGPU lets inference and rendering share GPU resources directly with zero copy. How Jev or TypeSafe is used, in the post's own words: “TypeGPU + ruNNtime + Jev @typesafeai is a very fun combo :D ruNNtime gives me efficient local inference, TypeGPU lets inference and rendering share GPU resources directly with zero copy.” The post does not name a separate audience. It is for people reading what @reczko_konrad shows here (it includes media).