AI Research
Together Compiler: Continual Compilation for AI Inference
A compiler approach for AI inference as models, architectures, and traffic evolve
Today's AI workloads are rapidly changing: new models are released more often, model architectures are increasingly diverse, and traffic distributions change frequently.
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ArXiv CS.AI
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ArXiv CS.AI
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Generated insight by OnAirToday AI
Frequent model releases, architectural diversity, and shifting traffic make static compilation approaches harder to rely on. Continual compilation is relevant because it addresses the need to keep inference compilation aligned with changing workloads.
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