Sept. 18, 2023, 12:52 a.m. | /u/AIsupercharged

Artificial Intelligence

The hardware accelerators for LLM-powered applications can be costly. Enter vLLM, an open-source machine learning library designed to enhance the throughput of LLM serving systems.

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**Challenges with existing systems**

* High throughput serving of LLMs requires numerous requests, and current systems struggle with the bulky sequence memory.
* Inefficient memory management results in system hindrances such as fragmentation and redundant duplication.

**The revolutionary answer: vLLM & …

accelerators applications artificial challenges current hardware inference library llm llms machine machine learning memory systems

Senior Machine Learning Engineer

@ Kintsugi | remote

Staff Machine Learning Engineer (Tech Lead)

@ Kintsugi | Remote

R_00029290 Lead Data Modeler – Remote

@ University at Buffalo | Austin, TX

R_00029290 Lead Data Modeler – Remote

@ University of Texas at Austin | Austin, TX

Senior AI/ML Developer

@ | Remote

Data Engineer (Contract)

@ PlayStation Global | United States, Remote