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Nemotron Elastic

A unified [[concepts/large-language-model]] deployment architecture developed by [[entities/nvidia]] that consolidates multiple parameter-scale variants into a single artifact. By bundling distinct model capacities, Nemotron Elastic enables Dynamic Inference and runtime compute scaling without requiring separate weight files, reloading pipelines, or [[concepts/application-programming-interface-api]] contract modifications.

Architecture & Deployment

• Multi-Tier Bundling: [[entities/nvidia]]’s Nemotron-3 Nano V3 Elastic packages 30B, 23B, and 12B parameter configurations into one file, operating as a nested, capacity-scalable reasoning engine.
• Runtime Elasticity: Seamlessly shifts compute allocation between tiers based on Hardware Accelerator constraints, latency SLAs, or throughput demands, maximizing Parameter Efficiency.
• Deployment Agnosticism: Single-artifact distribution streamlines edge, on-prem, and cloud rollouts while preserving consistent [[concepts/model-compression]] and routing logic across capacity tiers.
• Reference Analysis: NVIDIA Nemotron Elastic: Bundling Three LLMs for Flexible Deployment

Related Concepts

• Model Merging
• Elastic Computing
• Dynamic Batch Processing
• NVIDIA TensorRT-LLM
• Sparse Mixture of Experts