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Building GPU Clouds for Intelligent Applications with Mirantis k0rdent AI

Mirantis via YouTube

Overview

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Discover how to build and operationalize GPU-powered infrastructure for enterprise-grade AI/ML applications across hybrid and multi-cloud environments in this 20-minute webinar. Learn to design scalable AI infrastructure that delivers high-performance inference while maintaining data control and cost predictability using Mirantis k0rdent AI platform. Explore proven patterns for building hybrid GPU clouds supporting both training and inference workloads, and understand frameworks for balancing performance, cost, and data sovereignty. Master strategies for enabling inference-as-a-service across teams and regions while leveraging Kubernetes-native orchestration and NVIDIA technologies for enterprise-scale deployment. Watch a comprehensive demonstration of creating GPU-enabled workloads with NVIDIA integration, and gain insights into streamlining operations through observability and FinOps capabilities. Access actionable guidance based on real-world AI deployments, covering infrastructure selection via the k0rdent catalog, operational optimization strategies, and the advantages of flexible, choice-driven AI infrastructure solutions for scaling intelligent applications effectively.

Syllabus

0:00 - Intro
0:29 - What does Mirantis deliver?
3:42 - What is Mirantis k0rdent AI?
6:13 - k0rdent is Kubernetes-native
7:54 - Choose your Infra via k0rdent catalog
8:39 - Streamline Ops: Observability & FinOps
9:31 - Demo: Create GPU-enabled workload with NVIDIA
18:17 - Demo recap
19:09 - Useful resources
19:43 - Outro

Taught by

Mirantis

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