TensorRT-LLM Speculative Decoding Boosts Inference Throughput by up to 3.6x – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-04-06T02:18:37Z http://www.open-lab.net/blog/feed/ Carl (Izzy) Putterman <![CDATA[TensorRT-LLM Speculative Decoding Boosts Inference Throughput by up to 3.6x]]> http://www.open-lab.net/blog/?p=92847 2025-01-11T17:32:51Z 2024-12-02T23:09:43Z NVIDIA TensorRT-LLM support for speculative decoding now provides over 3x the speedup in total token throughput. TensorRT-LLM is an open-source library that...]]> NVIDIA TensorRT-LLM support for speculative decoding now provides over 3x the speedup in total token throughput. TensorRT-LLM is an open-source library that...Image of the TensorRT-LLM icon next to multiple other icons of computer activities.

NVIDIA TensorRT-LLM support for speculative decoding now provides over 3x the speedup in total token throughput. TensorRT-LLM is an open-source library that provides blazing-fast inference support for numerous popular large language models (LLMs) on NVIDIA GPUs. By adding support for speculative decoding on single GPU and single-node multi-GPU, the library further expands its supported��

Source

]]> 3 ���˳���97caoporen����