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.
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1 assignment7 plugins
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Frequently asked questions
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.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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