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  1. Scaling Your AI and ML Applications with AWS: A Practical ...

    Here’s why immersing yourself in AWS for AI and ML is not just beneficial but essential: Scalability and Elasticity: AWS provides a scalable and elastic infrastructure, allowing you to …

  2. The AI PaaS For Deploying, Managing, and Scaling Apps

    Heroku is an AI platform as a service (AI PaaS) that enables developers to build, run, and scale applications entirely in the cloud.

  3. AI in Cloud Computing - ScaleGrid

    Prioritization of resources based on task or application importance Such AI-based resource allocation empowers cloud providers to deliver services that perform efficiently and adjust …

  4. AI-driven resource management strategies for cloud

    We also present case studies and applications of AI-driven resource management in various cloud computing scenarios, including large-scale cloud providers, edge computing, serverless …

  5. The framework employs reinforcement learning (RL)-based resource utilization optimization to reduce costs and improve performance. The framework integrates AI models with cloud …

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