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Part 09 · Fine-tuning and Serving Models

Model Serving

vLLMContinuous batchingPagedAttentionStreaming

One GPU, many users at once: continuous batching, PagedAttention for KV-cache memory, streaming tokens, and what a serving engine like vLLM does for you.

⏱ 1-2 hours · Station 74 of 92

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← Previous stopQuantization and DistillationNext stop →Making LLMs Faster and Cheaper
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