Client-Side Inference, Reimagined: Llama 4 Scout Goes Local

Deploying large AI models across devices is hard.

Llama 4 Scout, which we showcase here, typically wouldn’t fit on client devices. But with our optimization tools, we’re able to bring it to life on select clients — without compromising on performance.

With our OpenInfer Studio developer tool, you can seamlessly import and optimize models for a wide range of local client deployment scenarios, making large model deployment not only possible, but smooth.

🛠️ No heavy lifting required.
🚀 Just efficient, scalable inference.
🎥 Check out the video to see it in action.