GPU Cloud Computing

Cloud Computing

The delivery of computing services — servers, storage, databases, networking, software — over the internet on demand.

Infrastructure as a Service

Cloud computing model providing virtualised computing resources like servers, storage, and networking over the internet.

Platform as a Service

Cloud computing model that provides a platform for developers to build, deploy, and manage applications without managing infrastructure.

Software as a Service

Cloud computing model that delivers software applications over the internet on a subscription basis.

Function as a Service

A serverless cloud computing model where individual functions are executed in response to events.

Serverless Computing

A cloud execution model where the provider dynamically allocates resources, charging only for actual compute time used.

Cloud-Native

An approach to building applications that fully exploit cloud computing advantages like elasticity, resilience, and automation.

Private Cloud

Cloud computing resources used exclusively by a single organisation, either on-premises or hosted by a third party.

Public Cloud

Cloud computing resources shared among multiple organisations and available to the general public over the internet.

Managed Service

A cloud service where the provider handles infrastructure management, maintenance, updates, and monitoring.

Cloud Cost Optimisation

Strategies and practices for minimising cloud computing expenses while maintaining performance and functionality.

Spot Instance

A cloud computing option that uses spare capacity at significantly reduced prices with the possibility of interruption.

Application Programming Interface — a set of protocols and tools for building and integrating software applications.

An architectural style structuring an application as a collection of loosely coupled, independently deployable services.

The automated management of containerised application deployment, scaling, networking, and availability across clusters of machines, with Kubernetes as the dominant platform.

A cloud computing model that enables the replication and recovery of infrastructure and data in the cloud.

Automatically adjusting compute resources based on current demand to maintain performance and optimise costs.

An infrastructure layer handling service-to-service communication in microservices, managing traffic, security, and observability.

A query language for APIs that lets clients request exactly the data they need in a single request.

Software that creates and manages virtual machines, allowing multiple operating systems to share a single hardware host.

AI Training

The process of teaching an AI model to recognise patterns by exposing it to large datasets and adjusting its parameters.