Preview
Real-time models that meet your users where they are.
Fast, private, offline inference.
Now on your device.
On-Device
Preview
Fast, private, offline inference.
Now on your device.
Built for streaming using our first-of-its-kind low latency state space model inference stack.
Keep secrets right where they belong. No data ever leaves the inference hardware.
Cartesia's on-device models run offline, so your users can access Cartesia intelligence anywhere.
Deploy and run models on custom hardware, your way.
The technology behind on-device
State space models make it possible to build real-time on-device applications in ways that were previously impossible. Cartesia's models leverage our deep domain expertise to bring this technology to your users.
Run large models on small devices without hogging memory.
Power many applications with the same model by taking advantage of our efficient inference stack.
Stream data in real-time with our first-of-its-kind low latency state space model inference stack.
Access long-term knowledge with ease, making it possible to build complex applications.
Optimized for power-efficient, on-device deployments.
Keep track of memory across multiple interactions and devices.
We recently released Edge (Apache 2.0), a GitHub repository that brings together an ecosystem of multimodal models built on state space technology.
Star on GitHub