Build AI agent platforms with advanced open reasoning foundation models.
NVIDIA Llama Nemotron is a family of advanced models excelling in reasoning and a diverse set of agentic AI tasks. The models are optimized for platforms—from data centers to PCs—and excel in graduate-level scientific reasoning, advanced math, coding, instruction following, and tool calling.
These models have the ability to turn reasoning capabilities on and off, lowering inference costs when tasks don't require deep thinking.
Built on Llama for its exceptional knowledge and post-trained with NVIDIA-vetted reasoning capabilities of DeepSeek-R1, the Llama Nemotron open model family achieves the highest accuracy across leading benchmarks.
Optimized for low latency and highest throughput, the family reduces the cost of running models in production, and the option to turn reasoning on or off further saves compute on queries.
NVIDIA’s post-training data and optimization techniques ensure powerful, transparent, and adaptable models for developers and enterprises.
The models maintain internet-scale knowledge from Llama and can be deployed on users' secure GPU-accelerated platforms.
From lightweight inference to long-thinking for complex decision-making, the Llama Nemotron family meet the diverse requirements of enterprise AI agents.
Provides superior accuracy for PC and edge devices
Offers the most reasoning capabilities for tackling highly challenging tasks, optimized for data center scale
Delivers the highest agentic accuracy for complex systems, optimized for multi-GPU data center scale
Get started building AI agents with NVIDIA NeMo™ for custom agentic AI, NVIDIA NIM™ for fast, enterprise-ready deployment, and NVIDIA Blueprints for accelerating development with customizable reference workflows.
Use the right tools and technologies to take Llama Nemotron models from development to production.
Talk to an NVIDIA product specialist about moving from pilot to production with the security, API stability, and support that comes with NVIDIA AI Enterprise.
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