NVIDIA Riva
NVIDIA Riva is a GPU-accelerated SDK for building customizable Speech AI applications with real-time performance.
What NVIDIA Riva is
NVIDIA Riva is a GPU-accelerated SDK for building customizable Speech AI applications with real-time performance. Its Speech server API provides speech recognition, speech synthesis, and natural language processing. Automatic speech recognition supports streaming transcription with intermediate results and offline or batch processing, plus punctuation, word timestamps, confidence values, speaker diarization, speech hints, and speech translation. Text-to-speech supports streaming or offline inference, SSML, audio encoding, and custom pronunciation dictionaries. Zero Shot TTS and emotion mixing are beta features. Developers can use pretrained NGC models or custom models trained with NVIDIA NeMo. Riva supports cloud, on-premises, and edge deployment, including Helm-managed cloud setups, and NVIDIA says it can scale to hundreds of thousands of concurrent users. Data can remain on premises or in a customer cloud. Python and command-line clients, gRPC, and Protocol Buffers references are documented.
Good
- Supports streaming and offline speech recognition
- Includes speaker diarization and speech translation
- Provides SSML and custom pronunciation dictionaries
- Runs in cloud, on premises, or at edge
- Supports pretrained and NeMo custom models
Watch out
- Zero Shot TTS is listed as beta
- Emotion mixing is listed as beta
- GPU license grant excludes production use
- Google Cloud pricing is billed per GPU hour
Who it suits
Riva suits developers building customizable speech applications on Linux, through an API, or in self-hosted environments. It is relevant when streaming and offline speech services, model customization, and controlled deployment are needed.
Verdict
Riva offers a broad speech stack with recognition, synthesis, language processing, and deployment choices. Review the GPU licensing terms and beta feature status for your intended use.
Plans and prices
From NVIDIA Riva's own pricing page, checked 21 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| NVIDIA AI Enterprise trial | Free | Evaluation access to Riva workflows, containers and pretrained models · 90 days |
| NVIDIA API Catalog | Free | Sample data · NVIDIA-managed endpoints · Free access for individuals through managed API and UI demos |
| NVIDIA Riva on Google Cloud VMI | Priced on request | Alternative GPU options or private offers require contacting NVIDIA · $60 per GPU hour for high-performance GPUs such as NVIDIA A100 |
| NVIDIA Riva Enterprise | Priced on request | Unlimited workloads · ASR and TTS subscriptions · Enterprise support · 1-year or 3-year subscription terms |
The facts
Each one read from NVIDIA Riva's own pages, with the date it was checked.
What it does
- API protocol
- Riva services are exposed through gRPC endpoints, with Python client interfaces supplied for application integration.checked 21 Oct 2026
- Automatic speech recognition
- Riva provides customizable real-time and offline automatic speech recognition across languages including Arabic, Mandarin, English, French, German, Hindi, Italian, Japanese, Korean, Portuguese, Russian and Spanish.checked 21 Oct 2026
- Beta features
- Zero Shot TTS and emotion mixing are listed as beta features.checked 10 Oct 2026
- Container and Kubernetes support
- Riva is distributed as containers and includes Quick Start scripts and a Speech AI Skills Helm chart for Kubernetes deployments.checked 21 Oct 2026
- Customization
- Pretrained models can be fine-tuned with custom datasets and optimized for domain-specific speech and translation workloads.checked 21 Oct 2026
- Data handling
- NVIDIA says Riva data can be processed on premises or in the customer’s cloud.checked 10 Oct 2026
- Deployment
- Riva supports deployment in the cloud, on premises, and at the edge, with scaling to hundreds of thousands of concurrent users.checked 10 Oct 2026
- Deployment options
- Riva can run on premises, in public clouds, at the edge and on embedded devices.checked 21 Oct 2026
- Deployment tooling
- Riva supports Helm-managed cloud deployment.checked 10 Oct 2026
- Documentation depth
- The documentation hub includes installation, Python and command-line clients, sample apps, model references, gRPC and Protocol Buffers, troubleshooting and upgrade guidance.checked 21 Oct 2026
- Embedded software stack
- The current embedded matrix lists Ubuntu 24.04, CUDA 13.0.48, cuDNN 9.12.0, TensorRT 10.13.2.6, Triton 2.60.0 and Docker 28 or newer.checked 21 Oct 2026
- GPU requirement
- Riva development supports NVIDIA Turing or newer GPUs, with 16 GB or more of GPU memory recommended for data-center models.checked 21 Oct 2026
- HTTP and WebSocket APIs
- Riva 2.26 adds WebSocket real-time and HTTP REST APIs for ASR and TTS on Jetson platforms.checked 21 Oct 2026
- Integration interfaces
- Riva documents Python and command-line clients, and provides gRPC and Protocol Buffers API references.checked 10 Oct 2026
- Latency target
- NVIDIA describes optimized Riva inference as running below 150 milliseconds and real-time interaction as below 300 milliseconds.checked 21 Oct 2026
- License status
- Riva server software is distributed under NVIDIA license terms rather than an open-source license; the public client repositories use MIT licenses.checked 21 Oct 2026
The company
- Company founding
- NVIDIA was founded on April 5, 1993 by Jensen Huang, Chris Malachowsky and Curtis Priem.checked 21 Oct 2026
- Company headquarters and size
- LinkedIn lists NVIDIA headquarters in Santa Clara, California and company size above 10,001 employees.checked 21 Oct 2026
- Company legal name
- The product is made by NVIDIA Corporation.checked 21 Oct 2026
- Founded
- 1993checked 28 Sep 2026
- Headquarters
- Santa Clara, California, USAchecked 28 Sep 2026
Where it runs
- GetApp integration listing
- GetApp lists Docker as Riva's single top integration and shows no submitted user reviews.checked 21 Oct 2026
- GPU platform requirement
- The Riva license terms describe internal test and development use on systems that include NVIDIA GPUs, excluding production use under that grant.checked 10 Oct 2026
Money
- Limit: cost model
- A G2 reviewer says GPU-based pricing is unsuitable for many users.checked 21 Oct 2026
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