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Google TPU의 핵심 혁신인 Systolic Array가 행렬 곱셈을 어떻게 극한까지 최적화하는지 완전 해부합니다. INT8 추론부터 bfloat16, XLA 컴파일러, TPU Pod까지 실제 숫자와 코드로 깊이 파헤칩니다.
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NVIDIA H100 Tensor Core, Google TPU v5 systolic array, Cerebras WSE-3, AWS Inferentia 2, Apple Neural Engine까지 AI 하드웨어 가속기 완전 비교 가이드입니다.