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An open-source LLM serving framework from UC Berkeley that introduced PagedAttention and continuous batching as production-grade defaults. vLLM and TensorRT-LLM dominate the open-source serving layer for high-throughput LLM endpoints.
AI Engineers building self-hosted LLM serving usually start with vLLM. Understanding its scheduler, batching policy, and quantization options is required for any production deployment.
An open-source LLM serving framework from UC Berkeley that introduced PagedAttention and continuous batching as production-grade defaults. vLLM and TensorRT-LLM dominate the open-source serving layer for high-throughput LLM endpoints.
AI Engineers building self-hosted LLM serving usually start with vLLM. Understanding its scheduler, batching policy, and quantization options is required for any production deployment.
Definitions are original explanations written for career development purposes. For authoritative technical definitions, refer to NIST, ISO, or the relevant standards body.
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