Unverified50% confidenceConceptExact time
The core idea of device-resident simulation is to keep both the simulation state and the computation graph resident in GPU memory, so that the entire simulation-to-inference closed loop is completed entirely within the device, synchronized only through kernel launches, thereby eliminating copy overhead.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
CUDA-Accelerated Rocket League RL: Device-Resident Simulation Makes Training 100x Faster
redditr/reinforcementlearning10/16/2026
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