Achieve better large language model inference with fewer GPUs

Achieve better large language model inference with fewer GPUs

Achieve better large language model inference with fewer GPUs

Home » News » Achieve better large language model inference with fewer GPUs
Table of Contents

As enterprises more and more undertake massive language fashions (LLMs) into their mission-critical functions, enhancing inference run-time efficiency is changing into important for operational effectivity and price discount. With the MLPerf 4.1 inference submission, Purple Hat OpenShift AI delivers spectacular efficiency with vLLM delivering groundbreaking efficiency outcomes on the Llama-2-70b inference benchmark on a Dell R760xa server with 4x NVIDIA L40S GPUs. The NVIDIA L40S GPU gives aggressive inference efficiency by providing the good thing about 8-bit floating level (FP8 precision) help.Making use of FP8

share this article.

Enjoying my articles?

Sign up to get new content delivered straight to your inbox.

Please enable JavaScript in your browser to complete this form.
Name