White Paper
Modernizing AI Workflows: How Containers Make It Possible
Modernizing AI workflows requires cloud-native transformation and containers as a foundation. Containers provide consistent, scalable, secure environments for GenAI apps, enabling faster iteration and easier integration of new models. They also help manage dependencies, streamline testing, and enforce security. AI agents boost productivity when specialized, embedded into workflows, and customized with enterprise data. To scale AI, companies need strong partners offering trust, speed, and a rich ecosystem. Containers shift AI adoption from disruption to continuous improvement, empowering organizations to innovate confidently and remain competitive.