Open Source Models for Enterprise Agentic AI
NVIDIA Nemotron™ is a family of highly efficient, multimodal, open AI models built for long-running, self-evolving agents. Designed for fast task completion, Nemotron models deliver high reasoning throughput and leading accuracy for complex agent workflows.
With transparent training data and broad platform support, including NVIDIA RTX PRO™ and NVIDIA DGX Spark™, Nemotron models are openly available and integrated across the AI ecosystem, enabling trusted, high‑performance AI agents to be deployed anywhere from edge to cloud.
What Does NVIDIA Nemotron Bring to Agentic AI?
- Open Models - NVIDIA's open data and optimization techniques ensure powerful, transparent, and adaptable models for developers and enterprises. Models and training data are published openly on Hugging Face.
- High Compute Efficiency - The Nemotron family is optimized to complete agentic tasks faster with the highest throughput and hybrid MoE architecture.
- High Accuracy - Built from the ground up with exceptional knowledge, post-trained with high-quality training data, and aligned with reinforcement learning, Nemotron models achieve leading accuracy for long-running agentic systems.
- Secure and Simple Deployment - The Nemotron model family, available as optimized NVIDIA NIM™ microservices, offers peak inference performance and flexible deployment options, ensuring superior security, privacy, and portability.
Accelerate Enterprise AI Agents with NVIDIA Nemotron Models
- Fastest 30B MoE model for completing specialized tasks for always-on agents
- Easily post-trained to achieve leading domain-specific accuracy and efficiency
- Deploy anywhere, from local infrastructure to the cloud
- Ideal for multi-agent enterprise workflows requiring highest accuracy, such as customer service automation, supply chain management, and IT security
- Frontier-level reasoning across multi-step planning, tool use, synthesis, verification, and recovery
- Handles the hardest agent workflow calls, including planning, code generation, and deep research
- Single model for video, audio, image, and text understanding for a simplified agent workflow
- Multimodal reasoning for sub-agents within agentic use cases such as computer use agent, document intelligence, and video/audio understanding
- Highest in-class efficiency and with low costs
- Highest in-class efficiency and leading accuracy
- Great for addressing complex tasks in multi-agent environment
- Suitable for single data center GPU deployments
- Nemotron 3 Nano offers 4x faster throughput compared to Nemotron 2 Nano
- Leading accuracy for coding, reasoning, math and long context tasks
- Perfect for agents that need to deliver highest accuracy and efficiency for targeted tasks
- Industry-leading extraction, embed, and rerank models
- Best-in-class accuracy for multimodal document intelligence, question answering, and passage retrieval
- Leading positions on ViDoRe V1, ViDoRe V2, and MTEB and MMTEB leaderboard
- Understands document semantics and extract text and tables elements with spatial grounding
- Overcomes traditional OCR limitations with support for multi-column layouts, LaTeX table extraction, markdown formatting, and reading-order reconstruction
- Designed to accelerate document intelligence pipelines for RAG, LLM training data curation, and agentic document workflows
- A family of open models optimized for high-throughput, ultra-low latency automatic speech recognition (ASR), text-to-speech (TTS), speech-to-speech (S2S), full-duplex, speaker diarization, and neural machine translation (NMT) enabling voice agents and speech analytics.
- Nemotron speech models are available as NVIDIA NIM for GPU-accelerated production inference.
- Advanced multilingual, multimodal safety models that deliver high accuracy jailbreak detection, content moderation with cultural nuance, fine-grained PII detection, reasoning-based custom policy enforcement, and topic control for more secure and more compliant LLMs across global domains and use cases.
- NeMo Guardrails, a flexible, open library for defining and enforcing enterprise AI policies in real time—covering dialogue control, topic guidance, RAG grounding, tool‑call governance, safety filtering, and more—with parallel, low‑latency execution across custom, community, and NVIDIA safety rails.
Operationalize Enterprise Agentic AI with NVIDIA and WWT
Together, NVIDIA and WWT help enterprises move from agentic AI exploration to production-ready execution with greater speed, security and confidence. NVIDIA Nemotron models provide the open, efficient and high-performing foundation for building specialized AI agents, while WWT brings the strategy, integration expertise and real-world validation environments needed to help organizations apply these models to meaningful business use cases. Through the AI Proving Ground, Advanced Technology Center and WWT's broader AI framework, customers can prototype, test and operationalize agentic AI capabilities on accelerated infrastructure before scaling into production. From strategic alignment through AI Studio, application development through AI Foundry and enterprise deployment through AI Factory, WWT helps organizations turn NVIDIA-powered agentic AI innovation into secure, measurable business outcomes.
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