Infrastructure & Deployment

Scalability

The ability of an AI system to handle increasing numbers of users or requests.

Definition

Scalability is the property of an AI system that allows it to maintain performance as demand grows. A scalable system can serve ten users and ten thousand users with the same quality of experience — it simply allocates more resources when needed. Cloud-based AI services typically scale automatically; self-hosted models require explicit capacity planning. Understanding the scaling characteristics and costs of AI infrastructure is essential for commercial viability.

Related Terms

Model Serving

The infrastructure that makes a trained model available to receive and respond to requests.

Throughput

How many requests an AI system can handle per unit of time.

Cloud AI

AI models and services accessed over the internet via a provider's infrastructure.

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Disclaimer

This definition is provided for educational and informational purposes only. It represents a general explanation of a technical concept and does not constitute professional, technical, or investment advice. Artificial intelligence is a rapidly evolving field; terminology, techniques, and capabilities change frequently. Coaley Peak Ltd makes no warranty as to the accuracy, completeness, or currency of the information provided. Nothing on this page should be relied upon as the sole basis for commercial, technical, legal, or investment decisions without independent professional advice.

Document reference: ISO_webpage_knowledge-base_glossary_v1

Last modified: 29 March 2026

Knowledge Base·Infrastructure & Deployment·Scalability