NVIDIA Nemotron 3 Ultra brings 5x faster inference for agentic workloads on SageMaker
550B-parameter MoE model delivers 5x speed and 30% cost savings for autonomous agents.
NVIDIA Nemotron 3 Ultra is now available on Amazon SageMaker JumpStart, marking a significant advancement for enterprise agentic AI. The model features a hybrid Transformer-Mamba Mixture-of-Experts architecture with 550 billion total parameters but only 55 billion active per forward pass, dramatically reducing compute costs. It supports up to 1 million tokens of context and is optimized for the NVFP4 precision format, enabling 5x faster inference for long-running agent workflows while cutting costs by up to 30%. This makes it purpose-built for autonomous agents that require sustained multi-step reasoning, tool calling, and iterative self-correction.
Enterprise use cases span agent orchestrators that coordinate sub-agents across long chains, coding agents that generate and debug code across large repositories, deep research synthesizing multiple sources, and complex business workflows with decision branching. Deployment is simplified through SageMaker JumpStart with one-click setup, removing infrastructure management. The model runs on GPU instances like ml.p5en.48xlarge and can be deployed via SageMaker Studio or the Python SDK, with a simple API call for inference. This combination of frontier intelligence, cost efficiency, and ease of deployment positions Nemotron 3 Ultra as a critical tool for organizations scaling autonomous AI systems.
- 550B total parameters, 55B active, using hybrid Transformer-Mamba MoE architecture for efficient reasoning
- 5x faster inference and up to 30% lower cost for long-running agentic workloads compared to dense models
- One-click deployment on Amazon SageMaker JumpStart with support for up to 1M token context
Why It Matters
Purpose-built for autonomous agents, enabling faster, cheaper complex AI workflows at enterprise scale.