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AI teams now deploy software 1,000 times per month, a pace that strains traditional CI/CD pipelines built for slower, human-driven releases. The New Stack reports that existing infrastructure was not designed for this frequency, forcing teams to rethink deployment strategies for machine learning workflows.
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