Choosing the right platform: Slurm vs Kubernetes
In this video, Panu Koskela, our cloud solutions architect, will explore Slurm and Kubernetes, and cover their architecture, design, original purposes, and adaptations for ML. He’ll also discuss key considerations for choosing between them. https://nebius.ai/ 00:00 - 1:30 Intro 1:30 - 3:15 What is Nebius AI? 3:15 - 10:45 Challenges of training large models 10:45 - 19:40 Slurm specifics 19:40 - 27:48 Kubernetes specifics 27:48 - 39:40 How to make the right choice 39:40 - 46:05 Q&A 46:05 Summary #ai #slurm #k8s #kubernetes #nvidia #gpu #framework #nebius

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16. HPC Cluster Essentials: Tools, Techniques, and Best Practices [HPC in Julia]

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Inference: all you need to know about it

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What the Data Reveals About AI Agent Identity Risk: Inside the 2026 Survey Report

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AI in Kubernetes: How to Get Started?

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AI Infrastructure 2025: Compute = New Oil | Nebius, SemiAnalysis, Crusoe, Lambda, Sesterce, Mirantis

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Terraform explained in 15 mins | Terraform Tutorial for Beginners

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Migration Spring - Demystifying DWH migrations

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Scaling AI Workloads with Kubernetes: Sharing GPU Resources Across Multiple Containers - Jack Ong

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How Proctor’s texts in Karen Read lawsuit could free dangerous criminals

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Unlocking the Full Potential of GPUs for AI Workloads on Kubernetes - Kevin Klues, NVIDIA

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Framed Art Screensaver Spring | TV Art Slideshow Modern | Floral Frame Background

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Explain How Kubernetes Works With GPU Like I’m 5 - Carlos Santana, AWS

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2020 Seminar Series: Slurm

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Inside Anthropic, the $965 Billion AI Juggernaut | The Circuit

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Building a GPU cluster for AI

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