Deep Learning VM Image는 데이터 과학 및 머신러닝 태스크에 최적화된 가상 머신 이미지 세트입니다. 모든 이미지에는 주요 ML 프레임워크와 도구가 사전 설치되어 있습니다. GPU가 있는 인스턴스에서 바로 사용하여 데이터 처리 작업을 가속화할 수 있습니다.
Deep Learning VM 이미지는 다양한 프레임워크 및 프로세서 조합을 지원하는 데 사용할 수 있습니다. 현재 TensorFlow Enterprise, TensorFlow, PyTorch, 일반 고성능 컴퓨팅을 지원하는 이미지를 사용할 수 있으며, CPU 전용 및 GPU 사용 설정된 워크플로에 대한 버전이 모두 지원됩니다.
[[["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 VM Images are pre-configured virtual machines optimized for data science and machine learning, with key ML frameworks and tools already installed.\u003c/p\u003e\n"],["\u003cp\u003eThese images support various framework and processor combinations, including TensorFlow, TensorFlow Enterprise, PyTorch, and high-performance computing, with options for CPU-only and GPU-enabled workflows.\u003c/p\u003e\n"],["\u003cp\u003eThe images include pre-installed packages like Python 3.10, popular data science libraries, and JupyterLab environments, and Nvidia drivers for GPU acceleration.\u003c/p\u003e\n"],["\u003cp\u003eDeep Learning VM Images are based on Debian 11 or Ubuntu 22.04 and are regularly updated with bug fixes and package updates.\u003c/p\u003e\n"],["\u003cp\u003eCommunity support for Deep Learning VM is available through Stack Overflow and the google-dl-platform Google group.\u003c/p\u003e\n"]]],[],null,["# Introduction to Deep Learning VM\n\nDeep Learning VM Images is a set of\nvirtual machine images optimized for data science and machine\nlearning tasks. All images come with key ML frameworks and tools\npre-installed. You can use them out of the box on instances with\nGPUs to accelerate your data processing tasks.\n\nDeep Learning VM images are available to support many combinations\nof framework and processor. There are currently images supporting\n[TensorFlow Enterprise](/tensorflow-enterprise/docs),\nTensorFlow, PyTorch, and generic high-performance computing,\nwith versions for both CPU-only and GPU-enabled workflows.\n\nTo see a list of frameworks available, see [Choosing an\nimage](/deep-learning-vm/docs/images).\n\nPre-installed packages\n----------------------\n\nImages are based on the Debian 11 and Ubuntu 22.04\noperating systems, and these images can be\nconfigured to include the following:\n\n- Specific frameworks (for example, TensorFlow) and\n supporting packages.\n\n- Python 3.10 with the following packages:\n\n - numpy\n - scipy\n - matplotlib\n - pandas\n - nltk\n - pillow\n - scikit-image\n - opencv-python\n - scikit-learn\n - many more\n- JupyterLab notebook environments for quick prototyping\n\n- Nvidia packages with the latest Nvidia driver for GPU-enabled instances:\n\n - CUDA 11.*x* and 12.*x* (the version depends on the framework)\n - CuDNN 7.*x* and NCCL 2.*x* (the version depends on the CUDA version)\n\nUpdates\n-------\n\nDeep Learning VM images are updated regularly with bug fixes\nand package updates. Check the [release notes](/deep-learning-vm/docs/release-notes)\nfor information about updates.\n\nCommunity support\n-----------------\n\nAsk a question about Deep Learning VM on [Stack\nOverflow](https://stackoverflow.com/questions/tagged/google-dl-platform)\nor join the\n[google-dl-platform](https://groups.google.com/forum/#!forum/google-dl-platform)\nGoogle group to discuss Deep Learning VM.\n\n[Learn more about getting support from the\ncommunity](/deep-learning-vm/docs/getting-support#get_support_from_the_community).\n\nWhat's next\n-----------\n\nTo get started using Deep Learning VM, create a new instance\n[using the Cloud Marketplace](/deep-learning-vm/docs/cloud-marketplace)\nor [using the command line](/deep-learning-vm/docs/cli)."]]
