Voice

Infrastructure built for low-latency voice at scale

Deploy STT, LLM, and TTS pipelines with sub-second latency and autoscale globally in seconds - without managing infrastructure.

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Infrastructure designed for real-time voice workloads and reliability at scale.

Why Cerebrium for Voice?

Features

Why Cerebrium for Voice?

Co-Located Compute
Instant Startups
Global Regions
Strategic Partnerships

Zero network hops between workloads

Run STT, LLM, and TTS workloads on co-located CPU and GPU infrastructure, eliminating cross-network latency and delivering faster end-to-end voice interactions.

Burst to thousands of containers in seconds

Rapid autoscaling handles sudden spikes in call volume, scaling to thousands of containers in seconds without pre-provisioning or degraded performance.

Capacity : 2500+

Regions : us-east-1, eu-west-2, eu-north-1, ap-south-1

Close to users, compliant by design

Deploy voice workloads in regions closest to your users to minimize latency while meeting data residency and compliance requirements.

Use the tools you already trust

Build voice applications with your preferred frameworks - like LiveKit and Pipecat - and deploy best-in-class STT and TTS models locally on Cerebrium through strategic partnerships with providers such as Deepgram, AssemblyAI, Rime, and Resemble AI.

Examples