Three Model Sizes for Every Use Case
Nemotron 3 arrives in three distinct sizes, each optimized for different deployment scenarios in agentic AI systems:
Nemotron 3 Nano
- • Edge deployment ready
- • 4x throughput improvement
- • Efficient inference
- • Real-time agent applications
Nemotron 3 Super
- • Enterprise workloads
- • Complex reasoning tasks
- • Multi-step planning
- • Production agentic systems
Nemotron 3 Ultra
- • Research-grade capability
- • 1M token context window
- • State-of-the-art reasoning
- • Frontier agentic applications
What Makes Nemotron 3 Special
4x Higher Token Throughput
The Nano version alone delivers four times the token throughput of its predecessor, making real-time agentic applications viable at scale. This is a game-changer for applications requiring fast, iterative reasoning.
1 Million Token Context Window
The Ultra model supports context windows up to 1 million tokens, enabling agents to maintain coherent reasoning across extremely long conversations, codebases, or document sets.
Open Source with RL Tools
Unlike many frontier models, Nemotron 3 is fully open source and comes with reinforcement learning tools and open datasets for fine-tuning. This democratizes access to agentic AI capabilities.
Built for Agentic AI Systems
Nemotron 3 is explicitly designed for agentic AI - AI systems that can autonomously plan, reason, and execute multi-step tasks. Key capabilities include:
- Multi-step Reasoning: Chain-of-thought optimizations for complex problem solving
- Tool Use: Native support for function calling and external tool integration
- Planning: Hierarchical task decomposition and execution
- Self-Correction: Built-in mechanisms for error detection and recovery
Why This Matters: As AI moves from answering questions to taking actions, models need specialized architectures. Nemotron 3 represents Nvidia's bet that reasoning-optimized models will power the next generation of AI agents.
Nvidia Acquires SchedMD (Slurm)
In a strategic move announced alongside Nemotron 3, Nvidia is acquiring SchedMD, the primary commercial developer of Slurm - the world's most widely used job scheduler for HPC and AI workloads.
Why Slurm Matters
- • Powers 60%+ of the world's supercomputers
- • Critical for managing distributed AI training jobs
- • Enables efficient GPU cluster orchestration
- • Used by most major AI research labs
This acquisition gives Nvidia end-to-end control over the AI training infrastructure stack: from GPUs to job scheduling to model frameworks.
Developer Takeaways
- Open Source Access: Download and fine-tune Nemotron 3 for your agentic applications
- Edge Deployment: The 30B Nano model is suitable for edge and on-premise deployments
- RL Fine-tuning: Use provided reinforcement learning tools for domain-specific optimization
- Long Context: Leverage 1M context for document-heavy or code-heavy agent applications
