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Red Hat and Tesla engineers collaborate to optimize Llama 3.1 70B inference performance.

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ME News, April 23 (UTC+8), engineers from Red Hat and Tesla recently collaborated to optimize issues in actual production environments. By combining the use of KServe, LLM-D, and vLLM projects, they achieved significant improvements in inference performance on the Llama 3.1 70B model, with a 3x increase in output tokens per second and a 2x improvement in time to first token. During the collaboration, relevant fixes have been upstreamed to the KServe project. The article views this as a model of open-source collaboration. (Source: InFoQ)
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