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vLLM large scale serving: DeepSeek 2.2k tok/s/h200 with wide-ep

Vllm.ai1 min read
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vLLM large scale serving: DeepSeek 2.2k tok/s/h200 with wide-ep

Original Article Summary

Introduction

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Our Analysis

vLLM's introduction of DeepSeek 2.2k tok/s/h200 with wide-ep for large scale serving marks a significant milestone in AI model deployment, enabling faster and more efficient processing of natural language inputs. This development has important implications for website owners, particularly those who rely on AI-powered chatbots or content generation tools. With the ability to process 2,200 tokens per second, website owners can expect improved responsiveness and reduced latency in their AI-driven interactions, potentially leading to enhanced user experience and increased engagement. To capitalize on this advancement, website owners should consider the following actionable tips: monitor AI bot traffic to identify areas where DeepSeek's capabilities can be leveraged, review and update their llms.txt files to ensure compatibility with the latest AI models, and explore opportunities to integrate wide-ep enabled models like DeepSeek into their existing infrastructure to improve overall performance and efficiency.

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