all AI news
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
March 13, 2023, 3:58 p.m. | Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Daniel Y. Fu, Zhiqiang Xie, Beidi Chen, Clark Barrett, Joseph E. Gonzalez, Percy Li
Blog Content - TOGETHER www.together.xyz
(LLM) inference make it feasible only with multiple high-end accelerators.
Motivated by the emerging demand for latency-insensitive tasks with batched
processing, this paper initiates the study of high-throughput LLM inference
using limited resources, such as a single commodity GPU.
accelerators computational demand generative gpu inference language language model language models large language large language model large language models latency llm memory multiple paper processing requirements research resources study
More from www.together.xyz / Blog Content - TOGETHER
Flash-Decoding for long-context inference
6 months, 2 weeks ago |
www.together.xyz
Faster inference enables up to 5x price reduction on Together API
8 months, 2 weeks ago |
www.together.xyz
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
C003549 Data Analyst (NS) - MON 13 May
@ EMW, Inc. | Braine-l'Alleud, Wallonia, Belgium
Marketing Decision Scientist
@ Meta | Menlo Park, CA | New York City