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26min chapter
Shifting Minds: Exploring OpenShift's AI Landscape
Kubernetes Bytes
Accelerating Model Deployment with OpenShift AI
The chapter explores the benefits and workflow capabilities of OpenShift AI for hosting and serving machine learning models with API access, providing efficient model training and deployment for data scientists. It delves into the advantages of different deployment strategies like canary, blue-green deployments, and A/B testing, along with the importance of GPU technology for managing model training. The conversation also touches on the similarities and differences between Kubeflow and OpenShift AI, discussing the integration of standardized tools and the challenges of consuming GPUs for scaling out Gen AI applications.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode