Scaling Up vs. Scaling Out
Scaling up means using bigger models or hardware (more parameters, GPUs, or memory).
Scaling out means distributing workloads across multiple smaller systems or specialized models.
Businesses often start with scaling out for flexibility and cost control before moving to larger-scale infrastructure.
Want the full picture? This term comes from GenAI for Business, a complete free book on generative AI strategy and implementation by Prof. Shubin Yu (HEC Paris).