ElevenLabs
@ElevenLabs
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. https://t.co/Gn7oLSvuTk
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View on XElevenLabs Launches On-Premise and On-Device Deployment for Local Voice AI
ElevenLabs· Updated
ElevenLabs introduced local deployment options that allow enterprises to run high-fidelity voice models on their own servers or edge devices. This shift enables fully offline inference, ensuring data sovereignty and reduced latency for real-time applications in regulated industries.
ElevenLabs, an AI platform for voice synthesis and conversational agents, launched On-Premise and On-Device deployment options. These allow selected models to run locally on GPU-enabled servers or edge hardware, moving inference (the process of generating audio from text) away from the public cloud and into private environments.
This update addresses the trade-off between audio quality and data privacy. By supporting air-gapped environments and Confidential Computing, organizations can meet strict residency requirements without sending sensitive data to external servers. Local execution also eliminates network latency, which is vital for real-time systems where milliseconds directly affect user experience.
You can now integrate high-fidelity voice synthesis directly into hardware like IoT devices and mobile apps using optimized models for NPUs and ARM-based chips. This enables building voice-first products that function without internet connectivity, while supporting fine-tuning for specific dialects or languages to meet localized enterprise needs.
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