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Nvidia
OverviewModels
Nvidia

Nvidia

California, États-Unis
Modèles

À propos de Nvidia

NVIDIA is a hardware- and software-AI company headquartered in Santa Clara, California. Their mission is to enable the training and deployment of large-scale models through specialised architecture, infrastructure and model frameworks.

Performances

Performances récentes de Gateway pour les modèles de Nvidia.

Débit

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Aucune donnée récente

Délai avant le premier jeton

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Aucune donnée récente

Utilisation hebdomadaire

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Aucune donnée récente

Les métriques de performance apparaîtront lorsque les modèles de ce laboratoire traiteront du trafic Gateway.

Modèles récents

Versions récentes avec disponibilité, contexte, tarifs et détails d’utilisation.

Logo de Nvidia
Nemotron 3.5 Super VL 120B A12B
nvidia/nemotron-3.5-super-vl-120b-a12b

NVIDIA’s open 120B-parameter vision-language MoE model with 12B active parameters, built for reasoning, coding, tool use, document understanding and video understanding.

Longueur du contexte1 048 576 jetons
Entrée
TextImageVideo
Sortie
Text
15 oct. 2026
Logo de Nvidia
Nemotron Lightning 3.5 30B A3B
nvidia/nemotron-lightning-3.5-30b-a3b

Nemotron-Lightning-3.5-30B-A3B is a 30B-parameter Mixture-of-Experts language model (3B active) from NVIDIA's Nemotron-H family, built on a hybrid Mamba-Transformer architecture for efficient long-context inference. Like other models in the family, it responds to queries by first generating a reasoning trace and then concluding with a final response, with reasoning behavior configurable through a flag in the chat template. It includes a multi-token prediction (MTP) speculative decoding head for low-latency serving.

Fournisseurs0/0
Entrée
Text
Sortie
Text
15 août 2026
Logo de Nvidia
Nemotron 3.5 Lightning 30B A3B
nvidia/nemotron-3.5-lightning

Nemotron 3.5 Lightning is NVIDIA's open 30B-parameter mixture-of-experts reasoning model with 3B active parameters, a hybrid Mamba-Transformer architecture, and support for high-throughput agentic workloads.

Longueur du contexte1 048 576 jetons
Entrée
Text
Sortie
Text
11 août 2026
Logo de Nvidia
Nemotron 3 Embed 1B BF16
nvidia/nemotron-3-embed-1b-bf16

Nemotron 3 Embed 1B BF16 is a multilingual text embedding model for retrieval, semantic search, and RAG workflows.

Fournisseurs0/0
Entrée
Text
Sortie
Embedding
16 juil. 2026
Logo de Nvidia
Nemotron 3 Embed 8B BF16
nvidia/nemotron-3-embed-8b-bf16

Nemotron 3 Embed 8B BF16 is a multilingual text embedding model for retrieval, semantic search, and RAG workflows.

Fournisseurs0/0
Entrée
Text
Sortie
Embedding
16 juil. 2026
Logo de Nvidia
Nvidia Nemotron 3 Ultra
nvidia/nvidia-nemotron-3-ultra

NVIDIA Nemotron 3 Ultra is NVIDIA's strongest open-weights reasoning model, positioned near GPT-5.4 Mini (xhigh) and ahead of DeepSeek V4-Flash and Qwen3.5-397B-A17B.

Fournisseurs0/0
Entrée
Text
Sortie
Text
23 juin 2026
Logo de Nvidia
Nemotron 3.5 Content Safety
nvidia/nemotron-3.5-content-safety

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting text and image input and returning text output: a safe/unsafe classification for the user prompt and the response, safety category labels, and an optional reasoning trace. It covers 12 languages with a context window of up to 128K tokens. Suited for prompt and response moderation, content classification, safety pipelines, and enterprise AI guardrails with policy enforcement, and includes a togglable reasoning mode. Part of the NVIDIA Nemotron family of open models for agentic AI.

Fournisseurs0/0
Entrée
TextImage
Sortie
Text
15 juin 2026
Logo de Nvidia
Nemotron 3 Ultra Nvfp4
nvidia/nemotron-3-ultra-nvfp4

Nemotron-3-Ultra-550B-A55B-NVFP4 is a frontier-scale large language model (LLM) trained by NVIDIA, designed to deliver strong agentic, reasoning, and conversational capabilities. It is optimized for the most demanding workloads, including complex multi-step agents, long-context analysis, and high-accuracy reasoning over code, math, and science. The model employs a hybrid Latent Mixture-of-Experts (LatentMoE) architecture, utilizing interleaved Mamba-2 and MoE layers, along with select Attention layers. Like the Super model, the Ultra model incorporates Multi-Token Prediction (MTP) layers for faster text generation and improved quality, and it is trained using an NVFP4 pre-training recipe to maximize compute efficiency. The model has 55B active parameters and 550B parameters in total.

Fournisseurs0/0
Entrée
Text
Sortie
Text
13 juin 2026
Logo de Nvidia
Nemotron 3 Ultra
nvidia/nemotron-3-ultra-550b-a55b

Nemotron 3 Ultra is NVIDIA's largest Nemotron 3 model, a 550B total-parameter hybrid Mamba-Transformer mixture-of-experts model with up to 55B active parameters per token and up to 1M tokens of context, built for coding, research, and long-running agentic workflows.

Longueur du contexte1 048 576 jetons
Entrée
Text
Sortie
Text
1 juin 2026
Logo de Nvidia
Cosmos3 Super Reasoner
nvidia/cosmos3-super-reasoner

Cosmos3 Super Reasoner is an NVIDIA reasoning model for physical-AI and agent workflows, designed to answer from long-context text, image, and video inputs.

Fournisseurs0/0
Entrée
TextImageVideo
Sortie
Text
31 mai 2026
Logo de Nvidia
Nemotron 3 Nano Omni 30B A3B Reasoning
nvidia/nemotron-3-nano-omni-30b-a3b-reasoning

Nemotron 3 Nano Omni 30B A3B Reasoning is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems.

Fournisseurs0/0
Entrée
TextImageAudioVideo
Sortie
Text
28 avr. 2026
Logo de Nvidia
Nemotron Cascade 2 30B A3B
nvidia/nemotron-cascade-2-30b-a3b

Nemotron Cascade 2 30B A3B is NVIDIA's open 30B mixture-of-experts reasoning model with 3B active parameters, supporting thinking and non-thinking modes for agentic, mathematical, and coding work.

Fournisseurs0/0
Entrée
Text
Sortie
Text
19 mars 2026

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