説明
Welcome back! Today we are looking at two highly anticipated features for local AI: how to enable Cloud models and the Web Search API in your Ollama desktop setup. If your local machine lacks a powerful GPU, Ollama Cloud allows you to offload processing to datacenter hardware, giving you access to massive models like a 120-billion parameter reasoning engine without melting your laptop. Meanwhile, the new integrated Web Search API allows your AI models to fetch real-time internet data, entirely eliminating knowledge cutoffs and significantly reducing hallucinations.
In this quick video, I will show you exactly how to configure both of these powerful features to completely supercharge your AI workflows.
To enable Cloud models, simply open your terminal and type the command "ollama signin". Once you authenticate with your Ollama account, you can pull any cloud-hosted model by running a specific command, such as "ollama run gpt-oss:120b-cloud". The desktop app will automatically route the queries for that specific model to the cloud servers, while keeping all of your standard smaller models running completely local.
For the Web Search API, it is now integrated as a core tool. You just need to pass the "web_search" tool parameter when running supported reasoning models like Qwen3 or DeepSeek. The REST API automatically handles the internet query behind the scenes, fetches the most relevant pages, and returns structured snippets for your AI model to process before generating its final answer. This is an absolute game changer for building autonomous research agents.
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Hashtags
#Ollama #WebSearch #CloudModels #LocalAI #PythonProgramming #OllamaTutorial2026 #CloudComputing #TechTutorial #DeveloperTools #MachineLearning
Tags
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