Kubernetes' Key Role in Driving Enterprise AI Success | Research
Event Overview
AI development often involves diverse tools and frameworks that necessitate a flexible and portable infrastructure. Learn from Technical Solutions Architect Steve Younger about why the Kubernetes platform is inherently designed for flexibility and portability, making it highly suitable for managing AI workloads across different environments.
Featured Speakers
What to expect
- Get hands on, on demand experience
- Capture real-world insights and research
- Leverage practical and actionable guidance
- Compare, contrast and validate multi-vendor solutions
- Think creatively about strategy
- Tap into our industry-leading expertise and partnerships
Goals and Objectives
Goals and outcomes: Learn more about Kubernetes and its potential as a platform of choice for AI workflows; understand how Kubernetes can manage workloads across cloud environments; and hear about how specialized tools and support for MLOps further enhances Kubernetes' capabilities.
Who should attend?
Data scientists, engineers, and consultants looking to stay ahead of the curve in AI and ML technologies.
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