Nemotron 3 Super (2026): Open AI Model with Mamba-Transformer Now on Amazon Bedrock
Nemotron 3 Super, NVIDIA’s 120B-parameter open weights model, is now available on Amazon Bedrock, offering unprecedented efficiency in agentic AI applications. Combining hybrid Mamba-Transformer architecture with low-latency inference, it sets a new standard for open reasoning models.
Nemotron 3 Super (2026): Open AI Model with Mamba-Transformer Now on Amazon Bedrock
summarize3-Point Summary
- 1Nemotron 3 Super, NVIDIA’s 120B-parameter open weights model, is now available on Amazon Bedrock, offering unprecedented efficiency in agentic AI applications. Combining hybrid Mamba-Transformer architecture with low-latency inference, it sets a new standard for open reasoning models.
- 2Nemotron 3 Super (2026): The Open AI Breakthrough on Amazon Bedrock NVIDIA’s Nemotron 3 Super, a 120B-parameter (12B active) open weights reasoning model, has launched on Amazon Bedrock — setting a new standard for enterprise-grade generative AI.
- 3With its hybrid Mamba-Transformer Mixture-of-Experts (MoE) architecture, it delivers state-of-the-art agentic reasoning at 40% lower GPU memory usage than Llama 3 70B, making it ideal for cost-sensitive, high-scale deployments.
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Nemotron 3 Super (2026): The Open AI Breakthrough on Amazon Bedrock
NVIDIA’s Nemotron 3 Super, a 120B-parameter (12B active) open weights reasoning model, has launched on Amazon Bedrock — setting a new standard for enterprise-grade generative AI. With its hybrid Mamba-Transformer Mixture-of-Experts (MoE) architecture, it delivers state-of-the-art agentic reasoning at 40% lower GPU memory usage than Llama 3 70B, making it ideal for cost-sensitive, high-scale deployments.
How Mamba-Transformer Boosts Inference Efficiency
Nemotron 3 Super’s hybrid Mamba-Transformer architecture combines the sequential modeling strength of Mamba with the contextual depth of Transformers. This design enables dynamic parameter activation via MoE, reducing latency and power consumption without sacrificing accuracy. The result? Low-latency inference optimized for real-time agentic workflows like customer support automation and legal document parsing.
Why Enterprises Are Adopting Nemotron 3 Super on Bedrock
Amazon Bedrock provides seamless, secure deployment with native AWS governance, monitoring, and guardrails. Enterprises gain full control over data sovereignty, fine-tuning, and auditing — critical for regulated sectors like healthcare and finance. Unlike proprietary models, Nemotron 3 Super’s open weights enable customization and compliance validation, accelerating adoption across global industries.
Cost-Effective Reasoning at Scale
According to Artificial Analysis, Nemotron 3 Super outperforms leading open models by 35% in reasoning benchmarks while cutting inference costs by up to 90%. With pay-as-you-go pricing on Bedrock, businesses only pay for tokens used, making it one of the most economical options for production-grade generative AI. This efficiency transforms ROI for AI teams managing large-scale deployments.
Open Weights, Enterprise Readiness
NVIDIA’s transparent training methodology and documented data sources make Nemotron 3 Super a trusted choice for ethical AI. Microsoft Azure AI Foundry has also integrated the model, validating its appeal in hybrid cloud environments. Community-driven optimizations are already emerging, further enhancing performance and reducing deployment friction for developers.
As organizations prioritize responsible, controllable AI, Nemotron 3 Super emerges as the leading open weights solution for production systems. Explore the model today via Amazon Bedrock’s official documentation, where step-by-step guides, sample prompts, and inference benchmarks are now available. This isn’t just another LLM — it’s the new benchmark for efficient, open, enterprise-ready intelligence in 2026.
