18 August 2026
New model designs prioritize speed over size in AI systems
- Nemotron 3.5 Lightning, a model from Nvidia, uses 30 billion total parameters but only activates 3 billion at a time, reducing computational cost while maintaining capability.
- Model builders are moving beyond compression techniques like quantization (making numbers smaller) toward fundamental architecture changes that make inference, the process of running a trained model, inherently faster.
