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Sovereign AI Infrastructure at Scale - Real-World Lessons from the New Mirantis-Nebul Solution

Mirantis via YouTube

Overview

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Explore how to build and scale secure AI infrastructure for sovereign cloud providers and regulated enterprises in this 33-minute webinar. Discover the operational challenges of deploying multi-tenant GPU infrastructure across hybrid environments while maintaining full control over data, infrastructure, and compliance. Learn about Mirantis k0rdent AI, a Kubernetes-native architecture designed for high-compute, highly available, security-sensitive environments across multiple clouds and clusters. Examine a real-world case study featuring Nebul, a sovereign cloud provider in the Netherlands, demonstrating how they operationalized GPU clusters to serve sensitive AI workloads securely and efficiently. Master techniques for automating GPU-ready Kubernetes clusters with security and compliance considerations, understand the architecture of both open source k0rdent and Mirantis k0rdent AI, and discover best practices for deploying and scaling multi-tenant AI inference services using KServe, Knative, and Istio. Gain practical insights from Bharath Nallapeta, Senior Software Engineer at Mirantis, as he showcases live demonstrations of AI inferencing capabilities and shares lessons learned from real-world implementations of sovereign AI infrastructure at enterprise scale.

Syllabus

0:00 - Intro
0:56 - Challenges with AI on Kubernetes
11:46 - Use k0rdent to help solve these challenges
15:04 - Demo: AI Inferencing with Mirantis k0rdent AI
27:58 - Real world case study: Nebul+Mirantis
31:59 - The k0rdent Catalog
32:53 - Outro

Taught by

Mirantis

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