SpecEE is a novel inference engine that significantly accelerates Large Language Model (LLM) performance by intelligently predicting when computations can be terminated early while maintaining output quality.

• Introduces a speculation-based lightweight predictor that leverages probabilistic correlations between speculative tokens and correct results
• Optimizes hardware computation and memory access requirements
• Takes advantage of GPU parallelism for improved efficiency
• Implements system-level optimizations for practical deployment

This engineering breakthrough matters because it addresses one of the key barriers to widespread LLM adoption: inference speed. By reducing computational requirements while preserving output quality, SpecEE enables more responsive AI applications across devices and use cases.

SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting