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VUDA: Enabling Controlled Spatial Sharing of Graphics and Compute on NVIDIA GPUs
Graphics and compute increasingly share a single GPU in embodied AI simulators, AI-enabled games, and VR systems. Running these workloads concurrently can improve utilization, but contention can also compromise rendering and inference latency. Effective sharing therefore requires control over both c
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