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News/Hybrid JIT-CUDA Graph Optimization for Low-Latency Large Language Model Inference
arxiv
PublishedApril 29, 2026 at 4:00 AM
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Hybrid JIT-CUDA Graph Optimization for Low-Latency Large Language Model Inference

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arXiv:2604.23467v1 Announce Type: cross Abstract: Large Language Models (LLMs) have achieved strong performance across natural language and multimodal tasks, yet their practical deployment remains constrained by inference latency and kernel launch overhead, particularly in interactive, short-sequenc

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