Models
发布时间:2026-10-02 | 浏览:1
Estimate 3D human body pose and skeleton from video input.
552B MoE, 8B active params with native multimodal support and lower API cost using smaller KV cache
A relational foundation model for prediction over structured, multi-table data.
753B-parameter text MoE with DeepSeek-style sparse attention, native FP8 weights, reasoning and tool calling.
Multimodal 320B-total / 18B-active MoE with hybrid KDA and sparse MLA attention, native FP8 weights, reasoning and tool calling.
Cutting-edge vision-language model excelling in retrieving text and metadata from images.
Multilingual ASR across 25 European languages with punctuation, capitalization, and word timestamps
~2.8T hybrid KDA+MLA multimodal MoE for long-horizon coding, agentic tool use, and image understanding.
Wan2.2-Animate-2 is a novel end-to-end character animation framework
Fastest 30B A3B MoE model with leading domain accuracy for specialized agentic tasks
Muse Glimmer 30B is a multimodal reasoning model accepting text and images, with native tool-calling and separate reasoning output.
Translation model in 37 languages with few-shots example prompts capability.
NVIDIA-Ising-Calibration-1.5 is a dense multimodal vision-language model built on Gemma 4 31B. It analyzes quantum computing calibration experiment plots and generates structured technical text.
Upscale encoded or ST 2110 video to higher resolutions with NVIDIA Video Super Resolution.
1B embedding model for semantic search, retrieval, and RAG applications.
Efficient 33B MoE for local, long-horizon agentic coding and terminal tasks
An image edit model specialized for Omniverse synthetic to photographic solder-light style captured at NVIDIA PCB inspection stations
Nemotron OCR v2 is a state-of-the-art multilingual text recognition model designed for robust end-to-end optical character recognition (OCR) on complex real-world images.
Diffusion-based 26B parameter LLM enabling parallel token generation for real-time text apps
Open, efficient hybrid Mamba-Transformer MoE with 1M context, excelling in agentic reasoning, coding, planning, tool calling, and more
Natural and expressive voices in 23 languages. For voice agents and brand ambassadors.
Multilingual, multimodal model for detecting unsafe and toxic content.
Generates images, videos and action predictions from text, visual inputs and spatial controls, with mandatory input screening and visual SynthID watermarking.
Vision language model that excels in understanding the physical world using structured reasoning on videos or images.
nvidia ai for media
KV Cache Optimization
Causal Encoder Decoder
Vision Language Model
Structured Data
Relational Models
Large Language Models
Large Language Models
text and table extraction
document parsing
supported language - english
Mixture-of-Experts
character animation
Long-running agents
Large Language Models
neural machine translation
Text Translation
Quantum Computing
Vision Language Model
video upscaling
nvidia ai for media
video super resolution
Nemotron Retriever
Agentic Retrieval
Text-to-Embedding
Retrieval Augmented Generation
Synthetic Data Generation
Image Generation
Table Extraction
Optical Character Recognition
Speech Generation
safety and moderation
multilingual content safety
ai safety nemo guardrails
autonomous vehicles
image generation
action generation
Synthetic Data Generation
video understanding
autonomous vehicles
vision language model
Synthetic Data Generation