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Cloud Computing and AI Infrastructure

Scientific Session

Cloud Computing and AI Infrastructure

Cloud Computing and AI Infrastructure:

Cloud Computing and AI Infrastructure focus on delivering scalable computing resources, cloud-native platforms, and high-performance infrastructure required to build, train, deploy, and manage Artificial Intelligence applications. Cloud technologies provide organizations with the flexibility, scalability, and computational power necessary to accelerate AI innovation and digital transformation.

This field encompasses cloud architecture, AI platforms, GPU computing, containerization, Kubernetes, serverless computing, hybrid cloud environments, and AI infrastructure management. Cloud architects, infrastructure engineers, and technology providers collaborate to develop secure, efficient, and resilient cloud ecosystems that support enterprise AI adoption and business growth.

Several specialized areas are studied within Cloud Computing and AI Infrastructure, including:
⦁ Cloud-Native AI Platforms
⦁ Hybrid and Multi-Cloud Computing
⦁ GPU and High-Performance Computing
⦁ Kubernetes and Containerization
⦁ AI Infrastructure Management
⦁ Serverless Computing
⦁ Cloud Security
⦁ Scalable Enterprise Infrastructure

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