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Deploy, Scale, and Run Smarter with k0rdent AI - Turn Bare Metal K8s Clusters into AI Factories

Mirantis via YouTube

Overview

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Discover how to transform bare metal Kubernetes clusters into efficient AI factories through this 18-minute webinar that addresses the complexities of deploying GPU inference workloads. Explore why manual service installation, dependency management, and configuration errors create bottlenecks for teams seeking to scale AI applications efficiently. Learn how k0rdent AI streamlines GPU inference deployment using automated templates and built-in processes that eliminate common deployment friction points. Examine the AI service stack architecture and understand how k0rdent AI provides a full-stack solution from metal to model deployment. Watch live demonstrations showing the provisioning of AI inference clusters and the integration with NVIDIA Run:ai for enhanced GPU orchestration. Understand how pre-built templates, automated dependency provisioning, and seamless integrations transform manual GPU workflows into scalable, production-ready infrastructure capable of handling enterprise-scale demands. Gain insights into converting complex, error-prone manual processes into reliable, repeatable deployment workflows that accelerate time-to-production for AI applications. Perfect for platform engineers, DevOps professionals, and IT leaders responsible for enabling AI infrastructure who need practical strategies for deploying and scaling GPU inference workloads with confidence.

Syllabus

0:00 - Intro
1:48 - What this webinar will cover
2:08 - AI service stack-up
4:05 Overview of k0rdent AI
5:20 - Full-Stack AI solution, From Metal to Model
7:58 - Demo#1: Provisioning AI Inference cluster
12:01 - Demo#2: Using run:ai
15:39 - Key takeaways from the Demos
16:51 - Outro

Taught by

Mirantis

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