Enterprise AI
Scaling agentic AI: Enterprise patterns without vendor lock-in
Architecting modular, model-agnostic frameworks to future-proof your enterprise autonomous agent strategy.
Scaling agentic AI across an enterprise requires patterns that preserve flexibility while avoiding vendor lock-in. In this second post of our multi-agent series, we examine how ML teams operate many agentic AI systems across a multi-everything environment of frameworks, models, a...
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AWS Machine Learning Blog
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AWS Machine Learning Blog
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Standardizing agentic architectures allows enterprises to swap underlying LLMs and infrastructure providers without costly re-engineering. This modular approach is essential for maintaining long-term technical sovereignty as the rapid pace of AI model innovation continues.
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