Model card
Nemotron-3-Ultra is a high-performance Mixture-of-Experts (MoE) model designed for complex reasoning and orchestration tasks. Unlike dense models, it utilizes a hybrid Transformer-Mamba architecture, activating only 55B parameters out of a 550B total pool. For developers, this means you get frontier-level intelligence with significantly lower latency and higher throughput during inference. The model is particularly effective for long-context workflows, supporting up to a 1M token window, making it a strong candidate for massive document analysis, codebase reasoning, and multi-step agentic orchestration. While many models struggle with context decay, the Mamba integration provides a more efficient way to handle linear scaling in long sequences. If your stack requires an orchestrator that can manage complex tool-calling or synthesize information from vast datasets without the typical overhead of massive dense models, this is a highly competitive option.
Model files and versions
Download this model
How to use
- 01Step 1
Read the model card and source information.
- 02Step 2
Start with a small, non-sensitive evaluation.
- 03Step 3
Review quality, licensing and usage limits.
- 04Step 4
Adopt it only after validation.
Discussions
Use this space to keep checking source information, usage experience and maintenance status.
Open source page