Nvidia
California, 美国关于 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.
性能
Nvidia 的模型近期 Gateway 性能。
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此实验室的模型开始处理 Gateway 流量后，性能指标会显示在这里。
最新模型
包含可用性、上下文、价格和使用情况的近期发布。
NVIDIA’s open 120B-parameter vision-language MoE model with 12B active parameters, built for reasoning, coding, tool use, document understanding and video understanding.
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.
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.
Nemotron 3 Embed 1B BF16 is a multilingual text embedding model for retrieval, semantic search, and RAG workflows.
Nemotron 3 Embed 8B BF16 is a multilingual text embedding model for retrieval, semantic search, and RAG workflows.
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.
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.
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.
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.
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.
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.
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.
网络信息
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