CLOUD COMPUTING FOR AI
UNIT I
By,
Dr.R.Mohanraj, CSE(AI & ML)
, Characteristics of Cloud Computing and AI Integration
• Cloud computing provides the scalable, accessible
infrastructure (on-demand, pooling, elasticity) for AI.
• It enhances the cloud with automation, advanced analytics,
personalization, and intelligent resource optimization,
creating powerful, efficient, and adaptable systems for real-
time insights and complex tasks.
• Key characteristics including self-service, broad
access, elasticity, resource pooling, measured
service, automation, predictive analytics, enhanced security,
and cost efficiency.
, Characteristics of Cloud Computing (The Foundation)
• On-Demand Self-Service: Users provision resources
(compute, storage) instantly without human interaction.
• Broad Network Access: Services are available over standard
networks (internet) from various devices.
• Rapid Elasticity: Resources can scale up or down quickly to
meet fluctuating demands.
• Resource Pooling: Provider's resources are pooled and shared
across multiple tenants (multi-tenancy).
• Measured Service: Usage is monitored, controlled, and billed
(pay-as-you-go).
UNIT I
By,
Dr.R.Mohanraj, CSE(AI & ML)
, Characteristics of Cloud Computing and AI Integration
• Cloud computing provides the scalable, accessible
infrastructure (on-demand, pooling, elasticity) for AI.
• It enhances the cloud with automation, advanced analytics,
personalization, and intelligent resource optimization,
creating powerful, efficient, and adaptable systems for real-
time insights and complex tasks.
• Key characteristics including self-service, broad
access, elasticity, resource pooling, measured
service, automation, predictive analytics, enhanced security,
and cost efficiency.
, Characteristics of Cloud Computing (The Foundation)
• On-Demand Self-Service: Users provision resources
(compute, storage) instantly without human interaction.
• Broad Network Access: Services are available over standard
networks (internet) from various devices.
• Rapid Elasticity: Resources can scale up or down quickly to
meet fluctuating demands.
• Resource Pooling: Provider's resources are pooled and shared
across multiple tenants (multi-tenancy).
• Measured Service: Usage is monitored, controlled, and billed
(pay-as-you-go).
