How does cloud computing support modern AI systems?
Asked on Sep 20, 2025
Answer
Cloud computing provides the infrastructure and resources necessary for modern AI systems to scale efficiently and cost-effectively. It offers on-demand access to powerful computing resources, storage, and AI services that can be tailored to specific needs.
Example Concept: Cloud computing supports AI systems by providing scalable resources such as virtual machines, storage, and specialized AI services like machine learning platforms. These resources allow AI models to be trained and deployed without the need for significant upfront hardware investments. Cloud providers often offer pre-built AI tools and APIs that simplify the development and integration of AI capabilities into applications.
Additional Comment:
- Cloud platforms like AWS, Google Cloud, and Azure offer AI-specific services such as machine learning frameworks, data processing tools, and pre-trained models.
- Scalability is a key advantage, allowing AI systems to handle varying workloads by dynamically allocating resources.
- Cloud computing reduces the time to market for AI applications by providing ready-to-use infrastructure and services.
- Security and compliance are managed by cloud providers, ensuring data protection and adherence to regulations.
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