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Building tiny frontier AI models that run on edge devices
Stellon Labs is an AI research lab that is building tiny frontier AI models that can run on edge devices like smartphones, wearables and embedded systems. Our first open source model, KittenTTS, is a super-tiny text-to-speech model, that got 8K Github stars and 45K model downloads within 2 weeks of launching.
Stellon Labs is an AI research lab focused on developing small, powerful AI models designed to run on edge hardware for edge applications. Their positioning centers on frontier AI that operates with minimal hardware requirements.
The company builds tiny frontier AI models intended for edge devices, enabling AI capabilities to run locally on hardware with limited resources. This implies model optimization for small footprints and efficient performance suitable for edge deployments.
Who it’s for: Edge device developers, AI researchers, and product teams needing on-device AI capabilities for low-power or offline scenarios
Hiring/traction mentions
Building Stellon Labs where we train tiny frontier models that can run on edge devices. Ex-Meta Research, CMU SCS alum
We build super-tiny frontier models that can run literally anywhere - No GPU Required!
Stellon Labs trains tiny frontier models designed to run on edge devices (phones, laptops, robots) without GPUs. Their first model, KittenTTS, is a sub-25MB open-source text-to-speech model. They aim to enable local AI in Speech, Language, and Video on various devices and seek developers or companies for custom models, training, and deployments.
Deployable Physical AI on Any Edge Device.
Artificial Specialized Intelligence
