Deep Learning Containers 문서
Deep Learning Containers는 주요 데이터 과학 프레임워크, 라이브러리, 도구가 사전 설치된 Docker 컨테이너 세트입니다.
이러한 컨테이너는 워크플로의 프로토타입을 신속하게 제작하고 구현할 수 있도록 성능이 최적화된 일관성 높은 환경을 제공합니다.
자세히 알아보기
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Gemini 2.0 Flash Thinking 이용
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AI API 및 BigQuery를 포함하여 인기 제품 월별 무료 사용량
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자동 청구, 약정 없음
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AI API, VM, 데이터 웨어하우스 등 일반적인 사용 사례에 20개가 넘는 무료 제품을 사용할 수 있습니다.
달리 명시되지 않는 한 이 페이지의 콘텐츠에는 Creative Commons Attribution 4.0 라이선스에 따라 라이선스가 부여되며, 코드 샘플에는 Apache 2.0 라이선스에 따라 라이선스가 부여됩니다. 자세한 내용은 Google Developers 사이트 정책을 참조하세요. 자바는 Oracle 및/또는 Oracle 계열사의 등록 상표입니다.
최종 업데이트: 2025-09-04(UTC)
[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-09-04(UTC)"],[[["\u003cp\u003eDeep Learning Containers are Docker containers equipped with pre-installed data science frameworks, libraries, and tools.\u003c/p\u003e\n"],["\u003cp\u003eThese containers offer performance-optimized and consistent environments for rapid prototyping and workflow implementation.\u003c/p\u003e\n"],["\u003cp\u003eDocumentation provides guides on getting started, container overviews, and concept instructions.\u003c/p\u003e\n"],["\u003cp\u003eResources include pricing information and release notes.\u003c/p\u003e\n"]]],[],null,["# Deep Learning Containers documentation\n======================================\n\n[Read product documentation](/deep-learning-containers/docs/overview)\nDeep Learning Containers are a set of Docker containers\nwith key data science frameworks, libraries, and tools pre-installed.\nThese containers provide you with performance-optimized, consistent\nenvironments that can help you prototype and implement workflows quickly.\n[Learn more](/deep-learning-containers/docs/overview).\n[Get started for free](https://console.cloud.google.com/freetrial) \n\n#### Start your proof of concept with $300 in free credit\n\n- Get access to Gemini 2.0 Flash Thinking\n- Free monthly usage of popular products, including AI APIs and BigQuery\n- No automatic charges, no commitment \n[View free product offers](/free/docs/free-cloud-features#free-tier) \n\n#### Keep exploring with 20+ always-free products\n\n\nAccess 20+ free products for common use cases, including AI APIs, VMs, data warehouses,\nand more.\n\nDocumentation resources\n-----------------------\n\nFind quickstarts and guides, review key references, and get help with common issues. \nformat_list_numbered\n\n### Guides\n\n-\n\n [Get started with a local deep learning container](/deep-learning-containers/docs/getting-started-local)\n\n-\n\n [Deep Learning Containers overview](/deep-learning-containers/docs/overview)\n\nemoji_objects\n\n### Concepts\n\n-\n\n [Choose a container image](/deep-learning-containers/docs/choosing-container)\n\n-\n\n [Train in a container using Google Kubernetes Engine](/deep-learning-containers/docs/kubernetes-container)\n\n-\n\n [Create a derivative container](/deep-learning-containers/docs/derivative-container)\n\ninfo\n\n### Resources\n\n-\n\n [Pricing](/deep-learning-containers/pricing)\n\n-\n\n [Release notes](/deep-learning-containers/docs/release-notes)\n\nRelated videos\n--------------"]]
