Request-Adaptive Execution for Efficient Hybrid LLM Inference
Morph is a serving system that co-designs the model architecture and runtime for request-adaptive hybrid LLM inference and uses prefill-oriented gating to select a request-specific layout that remains fixed throughout decoding.