Documentazione su Deep Learning Containers
Deep Learning Containers รจ un insieme di container Docker
con framework, librerie e strumenti di data science chiave preinstallati.
Questi container forniscono ambienti coerenti e ottimizzati per le prestazioni che possono aiutarti a creare prototipi e implementare rapidamente i flussi di lavoro.
Scopri di piรน.
Inizia la tua proof of concept con 300 $di credito gratuito
-
Accedere a Gemini 2.0 Flash Thinking
-
Utilizzo mensile gratuito di prodotti popolari, tra cui le API di AI e BigQuery
-
Nessun addebito automatico, nessun impegno
Continua a esplorare con oltre 20 prodotti Always Free
Accedi a oltre 20 prodotti gratuiti per casi d'uso comuni, tra cui API AI, VM, data warehouse e altro ancora.
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java รจ un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-09-01 UTC.
[[["Facile da capire","easyToUnderstand","thumb-up"],["Il problema รจ stato risolto","solvedMyProblem","thumb-up"],["Altra","otherUp","thumb-up"]],[["Difficile da capire","hardToUnderstand","thumb-down"],["Informazioni o codice di esempio errati","incorrectInformationOrSampleCode","thumb-down"],["Mancano le informazioni o gli esempi di cui ho bisogno","missingTheInformationSamplesINeed","thumb-down"],["Problema di traduzione","translationIssue","thumb-down"],["Altra","otherDown","thumb-down"]],["Ultimo aggiornamento 2025-09-01 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--------------"]]