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View original post on X: vLLMOfficial
Published
23/100

vLLM details engineering behind independent encoder and language-model scaling

AIvLLM says its new blog covers engineering improvements, including metadata-only requests that avoid duplicate preprocessing and Mooncake/NIXL embedding transfers. The post also cites cross-encoder caching and EPD integration with vLLM Router, SMG, and llm-d for independent scaling of encoder and language-model instances.
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Part of a thread · earlier post

Our new blog covers the engineering behind these improvements:
📖 Metadata-only requests that avoid duplicate preprocessing
↕️ Mooncake/NIXL embedding transfers
🔀 Cross-encoder caching
🙌 EPD integration with vLLM Router, SMG, and llm-d for independent scaling of encoder and language-model instances.

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vLLM · x.comPublished · added here

Original title: Our new blog covers the engineering behind these improvements: