A persistent kernel is a GPU kernel that remains active between workloads, eliminating reload overhead. It’s used in high-performance computing and real-time AI inference to minimize latency and maximize throughput. Developers and data scientists benefit from faster iterative processing, especially in deep learning and scientific simulations where repeated kernel launches would otherwise bottleneck performance.
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