Nemotron Elastic Revolution: Train One Model for All Deployment Sizes (2024)

Nemotron Elastic: The End of “Train Every Model Separately” Era Why should AI teams care about this? Because training different-sized models for different deployment targets is burning your budget and slowing your time-to-market. Nemotron Elastic trains a single 12B model that contains nested 9B and 6B variants inside it—delivering three production-grade models for the cost of one, cutting training tokens by 7× and deployment memory by 43% while maintaining state-of-the-art reasoning performance. The Multi-Size Model Deployment Dilemma What’s fundamentally broken with today’s model compression workflows? They treat each target size as a separate research project, requiring independent exploration runs, manual …