AI를 뒷받침하는 강력한 하드웨어가 궁금하신가요? 이 모듈에서는 성능 최적화된 AI 컴퓨터를 분석하고 그 중요성을 알려드립니다. CPU, GPU, TPU가 어떻게 AI 태스크를 초고속으로 처리하는지, 각각의 고유한 특징은 무엇인지, 그리고 AI 소프트웨어에서 이를 최대한 활용하는 방법을 살펴보겠습니다. 이 과정을 마치면 AI 프로젝트에 적합한 GPU를 선택하는 방법을 정확히 알게 되어 AI 워크로드를 처리할 때 현명한 결정을 내릴 수 있게 됩니다.
AI 인프라: Cloud GPU
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Intermediate level
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2 hours to complete
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What you'll learn
그래픽 처리 장치(GPU)의 가치와 아키텍처를 정의합니다.
GPU 가속 클러스터를 실행하려면 적절한 GPU 머신 유형과 프로비저닝 플랫폼을 선택합니다.
GPU 사용량을 최적화하는 다양한 기술을 살펴봅니다.
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Recently updated!
March 2026
Assessments
1 assignment
Taught in Korean
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There are 2 modules in this course
이 과정에서는 AI 학습 및 추론 속도를 높이기 위해 Google Cloud GPU를 효과적으로 활용하는 방법을 익히게 됩니다. 여기에는 적절한 옵션 선택과 성능 최적화가 포함됩니다.
What's included
1 assignment7 plugins
모든 모듈에 대한 학생 PDF 링크
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1 reading
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Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
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