From the course: Serverless Cloud Computing: Concepts, Platforms, and Services
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Serverless and AI
From the course: Serverless Cloud Computing: Concepts, Platforms, and Services
Serverless and AI
- [Instructor] The convergence of serverless computing and artificial intelligence is creating a powerful synergy, particularly with the rise of generative AI and agentic AI. Here's a breakdown, serverless and AI in general. Serverless is an ideal platform for AI workloads due to its inherent scalability and cost effectiveness. AI models, particular deep learning models, often require significant computational resources, especially during training and inference. Serverless' ability to automatically scale resources based on demand, perfectly addresses this need. Developers can deploy AI models as serverless functions triggered by events or requests without worrying about managing underlying infrastructure. This reduces operational overhead and allows for more efficient use of resources. Serverless and generative AI. Generative AI models, such as large language models or LLMs, are computationally intensive. Serverless architectures provide a scalable and cost efficient way to deploy…
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