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Models

发布时间:2026-10-02 | 浏览:1
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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
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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
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