ResearchLatent Space
[AINews] Megakernels are so dead and so back
#megakernels#inference#AI#optimization#research
English
The recent discussion on megakernels highlighted their declining relevance in practical applications, as they often lead to inefficiencies despite initial theoretical benefits. Experts argue that the complexity of optimizing megakernels outweighs their advantages, with many inference providers opting for modular kernels instead.
中文
最近关于大内核的讨论强调了它们在实际应用中的相关性下降，因为尽管最初在理论上有好处，但它们往往导致低效率。专家们认为，优化大内核的复杂性超过了其优势，许多推理提供商更倾向于选择模块化内核。