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IEEE/ICACT20260019 Slide.06        [Big Slide]       [YouTube]	Oral Presentation
	Deep learning models often exhibit variable inference latency due to complex architectures and dynamic execution paths. Such models typically require substantial memory and computational resources, which are constrained on SmartNIC platforms. Moreover, deep learning inference can be non-deterministic, making it difficult to guarantee strict real-time performance.

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