ElevenLabs Expands AI Deployment to On-Premise and Device

ElevenLabs has expanded its deployment options to include on-premise and on-device environments.

The update extends beyond its existing cloud and virtual private cloud (VPC) offerings, allowing organizations to run its models across a wider range of enterprise set-ups, including local infrastructure and offline environments.

On-premise deployment enables organizations to run models on their own servers or data centres, which is suited to sectors with strict data or regional requirements, such as government.

On-device deployment allows models to run directly on hardware with limited compute, supporting offline use cases such as embedded voice applications.

For organizations requiring cloud-based control, ElevenLabs continues to offer VPC deployments through platforms such as AWS SageMaker and Google Cloud Vertex, where models operate within a customer’s own cloud environment.

Across these deployment options, ElevenLabs supports custom voice development, language and dialect fine-tuning, and additional model configuration depending on use-case requirements.

The company stated that these models are designed specifically for their respective environments and are updated on a controlled schedule to meet enterprise needs for stability, security, and long-term support.

Author: Hannah Swankie

Reviewed by: Robyn Coppell