Audio & Voice Analysis
Build speech-to-text applications that feel human, with the lowest-in-class time-to-first-token, fastest streaming output, and stable throughput under concurrency.
problem
Latency disrupts audio analysis and voice agents
Unstable inference disrupts real-time voice and audio interactions
Voice and audio applications rely on steady token generation and multi-step reasoning. Bursty or inconsistent streaming causes poor user experience.
Any delay breaks the conversation flow
Even sub-second latency creates pauses users perceive as broken. Voice and audio applications demand response times that feel instant.
Scaling to millions of hours is challenging
Infrastructure that throttles under sustained, high-concurrency workloads can't keep up with production voice and audio pipelines as workload volume grows.
Throughput degrades under sustained concurrency
Thousands of simultaneous sessions introduce queuing and latency spikes, breaking real-time performance when demand is highest.
solution
FriendliAI delivers the speed and reliability that voice and audio analysis demand
Real-time inference for voice and audio pipelines
Consistent token streaming and high-throughput inference keep multi-step voice and audio interactions smooth and uninterrupted under load.
Ultra-low latency streaming
Friendli TCache prefix caching and custom GPU kernels reduces time-to-first-token latency, keeping the gap between user speech and AI response imperceptible.
Effortless scaling to millions of hours
Continuous batching and autoscaling sustain throughput across simultaneous jobs, keeping voice and audio pipelines as workload volume grows to millions of hours.
Stable throughput under high concurrency
Continuous batching absorbs thousands of simultaneous sessions without queuing degradation, maintaining consistent quality as load scales.
Recommended Models
Access the world’s largest collection of 540,000 models through seamless Hugging Face integration. From text generation to computer vision, launch any model with a single click.
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How Teams Scale with FriendliAI
Learn how leading companies achieve unmatched performance, scalability, and reliability with FriendliAI
Our custom model API went live in about a day with enterprise-grade monitoring built in.
Rock-solid reliability with ultra-low tail latency.
Scale to trillions of tokens with 50% fewer GPUs, thanks to FriendliAI.
Fluctuating traffic is no longer a concern because autoscaling just works.
Friendli Engine is an irreplaceable solution for generative AI serving.
Our custom model API went live in about a day with enterprise-grade monitoring built in.
Rock-solid reliability with ultra-low tail latency.
Scale to trillions of tokens with 50% fewer GPUs, thanks to FriendliAI.
Fluctuating traffic is no longer a concern because autoscaling just works.
Friendli Engine is an irreplaceable solution for generative AI serving.
Additional Resources
Docs, demos, and resources for audio and voice interactions.
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Deliver Swift AI Voice Agents with FriendliAI
Friendli TCache: Flexible Multimodal Prefix Caching
NVIDIA Nemotron™ 3 Nano Omni, Day-0 on FriendliAI: Unified Multimodal Reasoning, at Peak Performance
Deploy Multimodal Models from Hugging Face to FriendliAI with Ease