Deploy AI models efficiently across different computing environments
Gemini offers three optimized sizes (Ultra, Pro, Nano) designed to run from data centers to mobile devices - however, the evidence does not describe Jules or its deployment options

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Google's largest and most capable AI model. Built from the ground up to be multimodal, Gemini can generalize and seamlessly understand, operate across and combine different types of information, including text, images, audio, video and code.
Gemini offers three optimized sizes (Ultra, Pro, Nano) designed to run from data centers to mobile devices - however, the evidence does not describe Jules or its deployment options
The evidence discusses Google Gemini's multimodal reasoning capabilities that handle complex written and visual information, extract insights from large document sets, and excel at explaining reasoning in subjects like math and physics - though this describes Gemini, not Jules
Gemini is described as natively multimodal, pre-trained to understand text, code, audio, images and video simultaneously - but this is Gemini documentation, not Jules product information