Fast, private, offline deployments. On-prem and on-device.

Deploy Cartesia models in your data center, or run our models on custom hardware.

Stream it. Stream out

Stream it.
Stream out

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

Fully Private

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

Deploy and run models on custom hardware

You can own your inference and deploy and run models on custom hardware, your way.

AVAILABLE ON-DEVICE MODELS

Sonic. A voice for every device.

Sonic. A voice for every device.

Sonic. A voice for every device.

Rene. The fast on-device LLM.

Rene. The fast on-device LLM.

Rene. The fast on-device LLM.

Discover the power of the 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

Explore Open-Source

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.

We recently released Edge (Apache 2.0), a GitHub repository that brings together an ecosystem of multimodal models built on state space technology.

We recently released Edge (Apache 2.0), a GitHub repository that brings together an ecosystem of multimodal models built on state space technology.