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Computing Paradigms

A hub of computing paradigms — the ways computation is organised, delivered and scaled — from cloud, serverless and edge to quantum, high-performance, distributed, cognitive and brain-inspired computing.

46 topics•6 categories•Updated November 2026

Cloud, Cloud-native & Serverless

5 entries

Computing delivered as a service, and applications built for it.

Serverless Family

6 entries

Directories under the serverless hub.

Edge, Mobile & Networks

5 entries

Computing close to users and devices, and the networks that connect them.

Quantum Computing

4 entries

Quantum hardware, software and security.

Performance, Intelligence & Context

6 entries

High-performance and brain-inspired computing, and systems that adapt to context.

Reference Bodies & Rankings

15 entries

Professional societies and rankings that frame computing paradigms.

Frequently Asked Questions

What is a computing paradigm?

A model for how computation is organised and delivered, such as running on demand in the cloud, close to devices at the edge, in parallel on supercomputers or on quantum hardware.

How are cloud, cloud-native and serverless related?

Cloud computing provides resources on demand, cloud-native designs applications to exploit them with containers and microservices, and serverless goes further by having the provider manage scaling and infrastructure.

What is the difference between edge and cloud computing?

Cloud computing processes data in central data centers, while edge computing processes it near where it is produced to cut latency and bandwidth. Most designs use both.

Where should I start?

If you are new, begin with Cloud Computing and Distributed Computing. For modern application design go to Cloud-native and Serverless, and for newer areas see Edge, Quantum and Neuromorphic.

What are the main computing paradigms?

Cloud, cloud-native and serverless computing, edge and mobile computing, distributed and high-performance computing, quantum computing, and bio- or brain-inspired paradigms such as neuromorphic computing.