Enterprise voice AI, deployed locally

ElevenLabs can now be deployed on-premise and on-device. This expands our deployment options beyond cloud and VPC, to cover the full range of enterprise environments.

On-premise deployment

On-Premise runs on your own servers, in your own data center, on Confidential Computing infrastructure with GPUs.

This is best suited to government agencies and organizations that cannot procure cloud infrastructure in their required region.

On-device deployment

On-Device runs directly on the hardware itself and is built for offline inference on constrained compute.

This is best suited to use cases that require offline inference, such as automotive manufacturers embedding voice into vehicles or wearables.

Virtual Private Cloud

For organizations that need their data to remain inside their own cloud environment we offer VPC deployments on AWS SageMaker and GCP Vertex. Our models run in your cloud account and we cannot access your data or logs.

This is best suited to organizations with data residency requirements that are hard to meet with SaaS. 

Custom voices and fine-tuning

On-Premise and On-Device models support custom voices developed in collaboration with our audio team. We also support fine-tuning for specific languages or dialects, and deeper model customization is available depending on the use case.

Model updates

These are purpose-built models, not simply a cloud model packaged for local execution. They are developed for their target environments and updated on a controlled cadence aligned with enterprise requirements for stability, security, and long-term support.

Availability

On-Premise and On-Device are in early access, with initial releases expected in the first half of 2026. VPC deployments are available now.

Join the waitlist: elevenlabs.io/on-prem-deployments