[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["わかりにくい","hardToUnderstand","thumb-down"],["情報またはサンプルコードが不正確","incorrectInformationOrSampleCode","thumb-down"],["必要な情報 / サンプルがない","missingTheInformationSamplesINeed","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["その他","otherDown","thumb-down"]],["最終更新日 2025-04-11 UTC。"],[[["\u003cp\u003eAI Platform Prediction offers online prediction for low-latency, real-time inferences and batch prediction for high-volume, asynchronous processing of data.\u003c/p\u003e\n"],["\u003cp\u003eOnline prediction returns inferences directly in the response message and is optimized for minimal latency, while batch prediction writes results to Cloud Storage and is ideal for accumulated data without immediate result requirements.\u003c/p\u003e\n"],["\u003cp\u003eOnline prediction receives input data as a JSON string and is typically ready to process at the time of request, whereas batch prediction uses files in Cloud Storage and allocates resources upon request.\u003c/p\u003e\n"],["\u003cp\u003eOnline prediction supports various virtual machine types for prediction nodes and a wider range of model types, while batch prediction has a fixed machine type and supports fewer model types.\u003c/p\u003e\n"],["\u003cp\u003eOnline prediction is suitable for application input or scenarios requiring timely inference, while batch prediction is preferred for scheduled jobs or when immediate results are not necessary.\u003c/p\u003e\n"]]],[],null,[]]
