Nemotron 3 Super
FREEOpen hybrid Mamba-Transformer MoE for agentic reasoning
► Developers building complex multi-agent systems for software development, cybersecurity triaging, and other autonomous reasoning applications requiring long-context analysis
Product Details
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PROS & CONS
STRENGTHS
- Large context window of 1M tokens
- Hybrid Mamba-Transformer MoE design
- Designed for coding and long-context reasoning
WEAKNESSES
- −Requires significant computational resources
- −Complexity may be high for some users
KEY FEATURES
Latent MoE with compressed token routing
Multi-token prediction for faster generation
Native NVFP4 pretraining for Blackwell optimization
Multi-environment RL post-training across 21 configurations
WHO IS Nemotron 3 Super BEST FOR?
Software Developers
Assisting in coding tasks and automating code generation.
AI Researchers
Facilitating long-context reasoning experiments and multi-agent simulations.
INTEGRATIONS
TECHNICAL DETAILS
FIELD REPORTS (0)
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DOSSIER
- COMPANY
- NVIDIA
- HQ
- Santa Clara, USA
- FOUNDED
- 1993
- TEAM SIZE
- 201-500
FILED UNDER
INTEGRATIONS
PRICING MODEL
BEST FOR
FINAL ASSESSMENT
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