Integrating NVIDIA TensorRT-LLM with the Databricks Inference Stack
原文英文，约700词，阅读约需3分钟。发表于：。Over the past six months, we've been working with NVIDIA to get the most out of their new TensorRT-LLM library. TensorRT-LLM provides an easy-to-use Python interface to integrate with a web server for fast, efficient inference performance with LLMs. In this post, we're highlighting some key areas where our collaboration with NVIDIA has been particularly important.
Databricks Mosaic R&D团队在7个月前推出了推理服务架构的第一个版本。2024年1月，他们将开始使用基于NVIDIA TensorRT-LLM构建的新推理引擎来提供大型语言模型（LLM）的服务。TensorRT-LLM是用于最先进的LLM推理的开源库，与NVIDIA的TensorRT深度学习编译器集成，优化内核用于关键操作，通信原语用于高效多GPU服务。他们与NVIDIA的合作使得从Hugging Face或使用MPT架构的自己的预训练或微调模型进行服务更快更容易。
