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Voice

Infrastructure for fast voice at scale

Run STT, LLM and TTS on the same host, with sub-second latency and regional autoscaling.

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Infrastructure for real-time voice and uptime at scale.

Why Axonfield for voice?

Features

CPU
GPUGPUGPU
Same host. No network hop.

No network hops between stages

Speech-to-text, the model and text-to-speech run on one machine. Each turn skips two network round trips.

Thousands of containers in seconds

Call volume can jump tenfold in a minute. New replicas start before callers hear the delay.

Capacity : 2,400+ 820+690+910+ Regions : 4 live

Near callers, inside the rules

Place voice workloads near your callers and inside the region your compliance team requires.

BrightwellVesperKinetik

Bring the tools you use

Use open voice frameworks and run partner speech models on the same GPUs as your agent.

Examples

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600 ms voice agent

A voice agent that replies inside 600 ms

Try now Phone agent with an open pipeline

Answer calls with an open-source pipeline

Try now Transcribe a 2-hour recording

Two hours of audio in under 3 minutes

Try now Outbound calling agent

Place and handle outbound calls

Try now

Teams running undefined on Axonfield

VoiceContact centers Vesper handles 3,000 concurrent calls at peak on Axonfield Read case study VideoDigital avatars Ombra renders avatar video in under 400 ms per frame Read case study VideoGenerative AI Kinetik moved from reserved nodes to per-second billing Read case study