Nvidia's open source model family. The creator says Nvidia is investing over $20 billion in open source around it.

Nemotron
by Nvidia
NVIDIA's family of open models for agentic AI: reasoning, vision, speech, retrieval and safety models.
Updated EU status checked Last shown
Nemotron at a glance
- What is Nemotron?
- Nemotron is a model from Nvidia. NVIDIA's family of open models for agentic AI: reasoning, vision, speech, retrieval and safety models.
- Who makes Nemotron?
- Nemotron is made by Nvidia.
- Does Nemotron work in the EU?
- Available in the EU. Models are openly downloadable from Hugging Face and deployable via NIM on any infrastructure, with no EU exclusion found in the provided material. The scraped pages mention no regional restrictions. Last verified 14 Nov 2026.
- How much does Nemotron cost?
- Open source. Weights are downloadable from Hugging Face. Free API endpoints are offered for prototyping. Production use through NVIDIA NIM is covered by NVIDIA AI Enterprise; details are not in the provided material. Licence: NVIDIA Open Model License (varies by model).
- Where was Nemotron shown?
- In 1 creator video by Matthew Berman. Most recently by Matthew Berman on 7 Aug 2026, at 12:48 in “What is Google even doing?”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
NVIDIA Nemotron is a family of open AI models built for long-running agentic workflows. It covers several workload types: reasoning models in Nano, Super and Ultra sizes, multimodal vision models (the site names Nemotron 3.5 Super VL), speech models (ASR, TTS and neural machine translation), retrieval models (embeddings, reranking, multimodal document parsing) and safety models for content moderation and jailbreak protection.\n\nNVIDIA describes the models as using a hybrid mixture-of-experts architecture tuned for throughput. It says models and training data are published openly on Hugging Face. The multimodal models are positioned for document intelligence, computer-use agents, and video and audio understanding. Research models are also offered for experimentation.\n\nThe models can be downloaded from Hugging Face or run as NVIDIA NIM microservices. NVIDIA also offers free prototyping API endpoints, and the models work with NeMo (customization) and NVIDIA Blueprints (reference workflows). Hardware support named on the site includes RTX PRO and DGX Spark. Licensing differs per model and is not detailed in the provided material.
- Reasoning models in Nano, Super and Ultra tiers
- Multimodal vision models for documents, charts, video and audio
- Speech (ASR, TTS, NMT), retrieval and safety model lines
- Hybrid MoE architecture aimed at high throughput
- Open weights with training data published on Hugging Face
- Deployable as NVIDIA NIM microservices; works with NeMo and Blueprints
As seen on YouTube
Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.
Similar AI tools
Closest neighbours by meaning, not just by category.
NVIDIA Nemotron 3.5 Super VL
Model · NVIDIA
NVIDIA's open multimodal model (120B total, 12B active parameters) for image, video and document understanding.
Nemotron 3 Ultra
Model · NVIDIA
NVIDIA's open-weight ~550B mixture-of-experts LLM with a hybrid Mamba-transformer design, aimed at agentic workloads.
NVIDIA Nemotron 3.5 Transcribe
Model · NVIDIA
NVIDIA's open-weight mixture-of-experts speech model for offline transcription in 40 languages, up to one hour of audio.
Nemotron 3.5 Lightning
Model · NVIDIA
NVIDIA's open-weight 30B mixture-of-experts model with 1M-token context, aimed at long-running agent workloads.
Nemotron 3 Embed
Model · NVIDIA
NVIDIA family of multilingual text embedding models (8B and 1B) for retrieval, RAG and coding agents.
Cosmos 3
Model · NVIDIA
NVIDIA's open omni-model family for physical AI: world simulation, reasoning and action generation for robots and AVs.