NVIDIA
NVIDIA
Riva TTS NIM
Container
NVIDIA
NVIDIA
Riva TTS NIM

RIVA TTS NIM provide easy access to state-of-the-art text to speech models, capable of synthesizing English speech from text

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What Is NVIDIA NIM?

NVIDIA NIM, part of NVIDIA AI Enterprise, is a set of easy-to-use microservices designed to accelerate deployment of generative AI across cloud, data center, and workstations.

Benefits of self-hosted NIMs:

  • Deploy anywhere and maintain control of generative AI applications and data

  • Streamline AI application development with industry standard APIs and tools tailored for enterprise environments

  • Prebuilt containers for the latest generative AI models, offering a diverse range of options and flexibility right out of the gate

  • Industry-leading latency and throughput for cost-effective scaling

  • Support for custom models out of the box so models can be trained on domain specific data

  • Enterprise-grade software with dedicated feature branches, rigorous validation processes, and robust support structures

Getting started with NVIDIA NIM

Please visit the RIVA TTS NIM to get started.

Security Vulnerabilities in Open Source Packages

Please review the Security Scanning tab to view the latest security scan results.

For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.

Get Help

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Get access to knowledge base articles and support cases or submit a ticket.

NVIDIA AI Enterprise Documentation

Visit the NVIDIA AI Enterprise Documentation Hub for release documentation, deployment guides and more.

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License

This container is licensed under the NVIDIA AI Product Agreement. By pulling and using this container, you accept the terms and conditions of this license.

You are responsible for ensuring that your use of NVIDIA AI Foundation Models complies with all applicable laws.

Publisher
NVIDIA
NVIDIA
Latest Tag1.3.0
UpdatedFebruary 17, 2025 UTC
Compressed Size16.43 GB
Multinode SupportNo
Multi-Arch SupportNo

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