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NVIDIA Riva for Developers

NVIDIA® Riva is a set of GPU-accelerated multilingual speech and translation microservices for building fully customizable, real-time conversational AI pipelines. Riva includes automatic speech recognition (ASR), text-to-speech (TTS), and neural machine translation (NMT) and is deployable in all clouds, in data centers, at the edge, or in embedded devices. With Riva, organizations can add speech and translation capabilities with large language models (LLMs) and retrieval-augmented generation (RAG) to transform chatbots into powerful multilingual assistants and avatars.

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How NVIDIA Riva Works

Speech and translation AI microservices convert spoken words into text (speech recognition), written language into spoken words (speech synthesis), and spoken or written words from one language to another (translation). Pretrained AI models are trained on vast datasets and can be fine-tuned on custom datasets to accelerate the development of domain-specific models. Fully containerized, these microservices are optimized for real-time performance and offline high throughput on premises or in the cloud, and can quickly scale to hundreds and thousands of parallel streams.

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Quick-Start Guide

Get step-by-step instructions for deploying pretrained models and how to interact with them.

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Introductory Blog

Learn about Riva’s architecture, key features, and components.

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Introductory Webinar

Build and deploy end-to-end speech and translation AI pipelines.

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Real-World Use Cases

See how to use Riva for multilingual transcription, translation, and voice.

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Ways to Get Started With NVIDIA Riva

Use the right tools and technologies to build and deploy fully customizable, multilingual speech and translation AI applications.

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Experience Riva through a UI-based portal for exploring and prototyping with NVIDIA-managed endpoints, available for free through NVIDIA's API catalog.

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Deploy

Get a free license to try NVIDIA AI Enterprise in production for 90 days using your existing infrastructure.

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Development Starter Kits

Start developing your speech and translation AI application with Riva by accessing tutorials, notebooks, forums, release notes, and comprehensive documentation.

Automatic Speech Recognition

Achieve high transcription accuracy for Arabic, English, French, German, Hindi, Italian, Japanese, Korean, Mandarin, Portuguese, Russian, and Spanish with state-of-the-art models pretrained on thousands of hours of audio on NVIDIA supercomputers.

Text-to-Speech

Customize across English, German, Italian, Mandarin, and Spanish TTS pipelines for the voice and intonation you want.

Neural Machine Translation

Integrate highly accurate text-to-text, speech-to-text, or speech-to-speech translation for up to 32 languages into your conversational application pipelines.


NVIDIA Riva Learning Library

Documentation

NVIDIA Riva Release Notes

Get comprehensive updates on the latest features, improvements, and bug fixes for Riva.

Video

Enabling Voice Interaction with a RAG Pipeline

Learn how to get started with the NVIDIA Riva Parakeet-CTC-1.1B NIM that delivers record-setting automatic speech recognition accuracy and performance.

Video

Getting Started with the NVIDIA Riva Parakeet NIM Microservices

Learn how to get started with the NVIDIA Riva Parakeet NIM to create more natural and intuitive voice-powered applications.


More Resources

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Ethical AI

    NVIDIA’s platforms and application frameworks enable developers to build a wide array of AI applications. Always consider potential algorithmic bias when choosing or creating the models being deployed. Work with the model’s developer to ensure that it meets the requirements for the relevant industry and use case; that the necessary instruction and documentation are provided to understand error rates, confidence intervals, and results; and that the model is being used under the conditions and in the manner intended.

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