Deployment center

Choose a runtime from product constraints

Every path records fit, verified versions, startup commands, production responsibilities, and known limitations.

Paths
11
Languages
2
Verified
2026-09-01
Community verified 2026-09-01

MOSS unified transcription and diarization

Use FunASR AutoModel or an OpenAI-compatible service with the third-party Apache-2.0 model published by OpenMOSS to produce long-form transcripts, timestamps, and speaker labels in one pass.

Hardware
cpu / nvidia-gpu / desktop-edge-gpu / kubernetes
Models
OpenMOSS-Team/MOSS-Transcribe-Diarize (third-party Apache-2.0 model)
Limitation

This is an OpenMOSS third-party model, not a FunASR model; no external VAD requirement does not imply an absence of internal segmentation. The vLLM path pins 0.27.1 and the SGLang Omni path pins 3f819f9c; revalidate real long multi-speaker audio before upgrades. SGLang Omni verbose_json keeps the speaker identifier in the [Sxx] prefix of segments[].text, which the FunASR adapter parses only after validating that the segment is backed by raw_text. LocalAI / moss-transcribe.cpp is another independent third-party reimplementation.

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Community verified 2026-09-07

Native FunASR on vLLM

Serve the pinned official FunAudioLLM/Fun-ASR-Nano-2512-vllm snapshot on vLLM 0.27.1; Chinese, English, Japanese and hotwords passed a separate single-H100 functional smoke.

Hardware
nvidia-gpu / kubernetes
Models
FunAudioLLM/Fun-ASR-Nano-2512-vllm (official checkpoint)
Limitation

Current commands use official FunAudioLLM/Fun-ASR-Nano-2512-vllm@a4362c943d48951f98ca2a62181cc028970270c5, tested 2026-09-07 in an existing environment: vLLM 0.27.1+cu129 / Torch 2.13.0+cu129 / Transformers 5.15.0 / CUDA 12.9. This is not a clean installation validation; preparation only checks versions and downloads a local snapshot. Eight HTTP requests establish functional compatibility only; first Chinese was not warmed, and the 0.911 s two-request probe is not capacity evidence. The 2026-08-13 benchmark below remains a historical community-converted checkpoint result, neither relabeled nor compared with the new run. #54944 updates main docs/test registry only; v0.28.0 still referenced the community artifact at audit time, not a claim of released official references.

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Production verified 2026-08-04

SenseVoice TensorRT / Triton

Build SenseVoiceSmall as a native FP16 TensorRT engine and serve batched GPU inference through Triton.

Hardware
nvidia-gpu / kubernetes
Models
SenseVoiceSmall
Limitation

A TensorRT plan is not portable across arbitrary GPU architectures or TensorRT versions; rebuild and revalidate accuracy, memory, and capacity on the target stack.

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Production verified 2026-08-30

llama.cpp / GGUF standalone

Use the ten v0.2.6 release packages or source builds to run FunASR GGUF models on CPU, Vulkan, CUDA, Blackwell, and edge devices.

Hardware
cpu / desktop-edge-gpu
Models
SenseVoiceSmall-GGUF / Paraformer-GGUF
Limitation

v0.2.6 provides a dedicated sm_120 Blackwell package with official cuBLAS and a static MSVC runtime; ten-platform build, archive, and dependency audits do not prove operation on physical Blackwell hardware. A positive RX 9070 XT v0.2.5 retest also does not resolve every AMD Windows 0xC0000005 report; Android/Mali remains outside the prebuilt and validated targets.

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Production verified 2026-08-13

SenseVoice native OpenAI realtime server

Use one C++ binary with no Python runtime to serve SenseVoice over REST, SSE, SRT/VTT, and OpenAI realtime WebSocket transcription.

Hardware
cpu / nvidia-gpu
Models
SenseVoiceSmall-GGUF / FSMN-VAD-GGUF
Limitation

Official verification currently covers Linux source builds; the server does not include production authentication, TLS, tenant quotas, or durable queues, so provide them at the gateway and infrastructure layers.

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Community verified 2026-08-13

audio.cpp native Fun-ASR-Nano and SenseVoice

Run Fun-ASR-Nano and SenseVoice Q8 with native C++ and GGML on CPU or GPU, using offline CLI, a local OpenAI-compatible API, and buffered SenseVoice streaming results.

Hardware
cpu / nvidia-gpu / desktop-edge-gpu
Models
Fun-ASR-Nano-2512 / SenseVoice-Small
Limitation

SenseVoice is merged into audio.cpp main@979e070f but is not yet in a tagged release. Pin that main commit until a release is published. Neither path currently provides word-level timestamps.

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Production verified 2026-07-26

OpenAI-compatible private API

Serve FunASR models through `/v1/audio/transcriptions` for existing SDKs, agents, and workflows.

Hardware
cpu / nvidia-gpu / kubernetes
Models
sensevoice / paraformer
Limitation

The example server does not include production authentication, tenant quotas, or full observability; provide them at the gateway and infrastructure layers.

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Community verified 2026-08-17

Realtime streaming and captions

Use online or two-pass WebSocket protocols for microphones, meeting captions, and continuous speech streams.

Hardware
cpu / nvidia-gpu / kubernetes
Models
Paraformer-online / FSMN-VAD
Limitation

Capacity depends on realtime ratio, chunks, VAD, connection count, and client backpressure; file RTFx does not replace concurrency tests.

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Community verified 2026-07-26

Containers and Kubernetes

Validate with Docker Compose, then deploy with the Kubernetes template, persistent model cache, probes, and private ClusterIP.

Hardware
kubernetes / cpu / nvidia-gpu
Models
sensevoice / paraformer
Limitation

The CPU example is not a CUDA production image; GPU drivers, image, scheduling, and capacity still require platform validation.

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Community verified 2026-07-26

ONNX / C++ CPU runtime

Deploy offline, online, and two-pass ASR on general CPUs with ONNX Runtime and C++ paths.

Hardware
cpu
Models
Paraformer / Paraformer-online
Limitation

Model conversion, operator support, and thread settings vary by platform; measure capacity on the target CPU with real audio.

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Production verified 2026-07-26

Production rollout checklist

Move from a runnable model to an observable, scalable, reversible production service with explicit boundaries.

Hardware
cpu / nvidia-gpu / desktop-edge-gpu / kubernetes
Models
All supported deployment models
Limitation

A checklist does not replace workload, accuracy, failure, and security exercises for the target product.

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