CMU & Meta’s TriForce: Turbocharging Long Sequence Generation with 2.31× Speed Boost on A100 GPU

In a new paper TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding, a research team from CMU and Meta introduces TriForce—a hierarchical speculative decoding system tailored for scalable long sequence generation, reaching up to 2.31× on an A100 GPU.

a100 a100 gpu ai artificial intelligence boost cmu decoding deep-neural-networks gpu hierarchical large language model long sequence processing machine learning machine learning & data science meta ml natural language generation paper research research team scalable speed team technology