Inference with Gemma using Dataflow and vLLM

vLLM’s continuous batching and Dataflow’s model manager optimizes LLM serving and simplifies the deployment process, delivering a powerful combination for developers to build high-performance LLM inference pipelines more efficiently.


This content originally appeared on Google Developers Blog and was authored by Google Developers Blog

vLLM's continuous batching and Dataflow's model manager optimizes LLM serving and simplifies the deployment process, delivering a powerful combination for developers to build high-performance LLM inference pipelines more efficiently.


This content originally appeared on Google Developers Blog and was authored by Google Developers Blog


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Google Developers Blog | Sciencx (2024-11-13T19:08:46+00:00) Inference with Gemma using Dataflow and vLLM. Retrieved from https://www.scien.cx/2024/11/13/inference-with-gemma-using-dataflow-and-vllm/

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" » Inference with Gemma using Dataflow and vLLM." Google Developers Blog | Sciencx - Wednesday November 13, 2024, https://www.scien.cx/2024/11/13/inference-with-gemma-using-dataflow-and-vllm/
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Google Developers Blog | Sciencx - » Inference with Gemma using Dataflow and vLLM. [Internet]. [Accessed ]. Available from: https://www.scien.cx/2024/11/13/inference-with-gemma-using-dataflow-and-vllm/
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" » Inference with Gemma using Dataflow and vLLM." Google Developers Blog | Sciencx [Online]. Available: https://www.scien.cx/2024/11/13/inference-with-gemma-using-dataflow-and-vllm/. [Accessed: ]
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