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LLM 서빙의 핵심 최적화 기술을 완전 해부한다. KV Cache의 메모리 문제부터 PagedAttention의 가상 메모리 혁신, 연속 배칭, 추측 디코딩, 양자화, 그리고 vLLM/TGI/TensorRT-LLM 비교까지.
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- Published on
NPU가 CPU/GPU와 무엇이 다른지, 트랜스포머의 모든 연산이 하드웨어에 어떻게 매핑되는지, 왜 LLM 추론은 메모리 바운드인지를 루프라인 모델과 실제 코드로 완전 해부합니다. Apple ANE부터 Qualcomm Hexagon, Groq LPU까지.