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On-Device

The speed and quality you're used to, on a device near you.

Preview

Real-time models that meet your users where they are.

Fast, private, offline inference.
Now on your device.

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On-Device

Stream in, stream out

Built for streaming using our first-of-its-kind low latency state space model inference stack.

Fully private

Keep secrets right where they belong. No data ever leaves the inference hardware.

No bars, no problem

Cartesia's on-device models run offline, so your users can access Cartesia intelligence anywhere.

Own your inference

Deploy and run models on custom hardware, your way.

Sonic On-Device

A voice for every device.

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Rene On-Device

The fast on-device LLM.

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The technology behind on-device

Fast, private, offline inference with state space models.

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.

Constant memory usage

Run large models on small devices without hogging memory.

High throughput

Power many applications with the same model by taking advantage of our efficient inference stack.

Low latency

Stream data in real-time with our first-of-its-kind low latency state space model inference stack.

Long context

Access long-term knowledge with ease, making it possible to build complex applications.

Power efficient

Optimized for power-efficient, on-device deployments.

Stateful

Keep track of memory across multiple interactions and devices.

Explore Open-Source

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

Join the on-device revolution.