Choosing Your Champion: LLM Inference Backend Benchmarks
Автор: BentoML
Загружено: 2024-08-14
Просмотров: 624
The BentoML team conducted a comprehensive benchmark study to evaluate the performance of various LLM inference backends for serving Llama 3 on BentoCloud, including vLLM, LMDeploy, MLC-LLM, TensorRT-LLM, and Hugging Face TGI. The benchmark is focused on two key metrics: Time to First Token (TTFT) and Token Generation Rate. Beyond performance metrics, we also considered other crucial factors, such as quantization support, model compatibility, hardware limitations, and developer experience.
Based on the results, we provided practical recommendations for selecting the most suitable backend under various scenarios. Read the full blog post: https://www.bentoml.com/blog/benchmar...
Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке:
![Why you should build an LLM benchmark [English]](https://ricktube.ru/thumbnail/DeIUJRd48fI/mqdefault.jpg)
