NVIDIA Magpie TTS
NVIDIA Magpie TTS is a text-to-speech offering with voice cloning, API access, and support for 12 languages.
What NVIDIA Magpie TTS is
NVIDIA Magpie TTS is a text-to-speech offering with voice cloning, API access, and support for 12 languages. It exports WAV files, allows commercial use, and is listed for web, Linux, API, and self-hosted use, with cloud processing. The free NVIDIA Developer Program plan is available for the duration of program membership and supports up to 16 GPUs. NVIDIA AI Enterprise is priced at $4,500 a year per GPU and includes production NIM access, enterprise-grade security, support, and API stability. A 90-day trial is listed. The entry also lists AI enhancement, a maximum output resolution of 8k, and an upscale factor of up to 4x. NVIDIA is headquartered in Santa Clara, California, USA, and was founded in 1993. The free option is tied to program membership, while the paid enterprise plan is priced per GPU per year. These details distinguish the listed access options for teams evaluating speech generation and integration needs.
Good
- Supports voice cloning and 12 languages
- WAV export and API access are listed
- Commercial use is allowed
- Free program plan supports up to 16 GPUs
- Self-hosted, web, and Linux use are listed
Watch out
- Free plan lasts only during program membership
- Enterprise pricing is 4500.00 USD per GPU per year
- Cloud processing is listed
Who it suits
Magpie TTS may suit developers and organizations seeking multilingual text-to-speech with voice cloning and API access. Its commercial-use permission and web, Linux, API, and self-hosted listings are relevant to users considering different deployment routes.
Verdict
NVIDIA Magpie TTS combines multilingual speech generation, cloning, WAV export, and API access. The free plan depends on program membership, while enterprise pricing is charged per GPU per year.
Plans and prices
From NVIDIA Magpie TTS's own pricing page, checked 15 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| NVIDIA Developer Program | Free | NIM API endpoints · downloadable NIM for research, development and testing · up to 16 GPUs · free access during membership |
| NVIDIA AI Enterprise | $4,500 a year | Production NIM licensing · per GPU per year |
The facts
Each one read from NVIDIA Magpie TTS's own pages, with the date it was checked.
What it does
- Alignment features
- Attention priors, classifier-free guidance and GRPO are used to improve alignment and generation robustness.checked 15 Oct 2026
- API access
- Yeschecked 20 Sep 2026
- API protocols
- NVIDIA states that Nemotron Speech supports both gRPC and HTTP APIs.checked 15 Oct 2026
- Architecture
- It uses transformer encoder and decoder networks with local-transformer refinement and multi-codebook audio-token prediction.checked 15 Oct 2026
- Cloud integrations
- NVIDIA documents deployment through Azure, AWS, GCP, OCI and other NVIDIA cloud-service-provider partners.checked 15 Oct 2026
- Commercial use
- NVIDIA marks this release as ready for commercial use under its stated terms.checked 15 Oct 2026
- Developer access complaint
- Forum users reported that applications for Magpie TTS Zeroshot access were rejected or asked for an NVIDIA contact and business email, with one user later reporting access was granted.checked 15 Oct 2026
- Documentation depth
- NeMo documentation covers training manifests, Hydra configuration, DPO and GRPO preference optimization, inference parameters and long-form generation.checked 15 Oct 2026
- Export formats
- WAVchecked 20 Sep 2026
- HTTP API
- The hosted model exposes HTTP endpoints for listing voices and synthesizing speech, authenticated with an NVIDIA API key.checked 15 Oct 2026
- Independent implementation
- The community magpie-tts.cpp project provides a C++17/ggml implementation with a CLI, C++ library and flat C API, and reports CPU inference without Python, PyTorch, NeMo or CUDA.checked 15 Oct 2026
- Languages
- Supported languages are English, Spanish, German, French, Italian, Vietnamese, Mandarin Chinese, Hindi, Japanese, Modern Standard Arabic, Brazilian Portuguese and Korean.checked 15 Oct 2026
- Licence
- Use is governed by the NVIDIA Open Model License, while the NIM container is governed by NVIDIA software and product-specific AI terms.checked 15 Oct 2026
- Limit: crackling reports
- An NVIDIA developer-forum report describes intermittent popping or crackling near the start or end of Magpie segments on Jetson AGX Thor; NVIDIA said newer Riva releases fixed the reproduced case.checked 15 Oct 2026
- Limit: duplicated audio bug
- An NVIDIA NeMo GitHub issue reports intermittent duplicated or repeated audio at the end of generations.checked 15 Oct 2026
- Limit: hardware dependence
- The independent review says the high-performance path relies on NVIDIA TensorRT, limiting AMD, Intel and Apple Silicon options.checked 15 Oct 2026
The company
- Company founded
- LinkedIn lists NVIDIA as founded in 1993.checked 15 Oct 2026
- Company headquarters
- LinkedIn lists NVIDIA headquarters in Santa Clara, California.checked 15 Oct 2026
- Company legal name
- LinkedIn identifies the maker as NVIDIA, a public computer-hardware company.checked 15 Oct 2026
- Company profile
- Crunchbase describes NVIDIA as designing graphics processors and accelerated-computing hardware for AI and high-performance computing.checked 15 Oct 2026
- Company size
- LinkedIn places NVIDIA in the 10,001-plus employee size category.checked 15 Oct 2026
- Founded
- 1993checked 28 Sep 2026
- Headquarters
- Santa Clara, California, USAchecked 28 Sep 2026
Money
- Free plan
- Yeschecked 20 Sep 2026
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