08 - AI and GPU Workloads on Kubernetes: Device Plugin and Training Jobs
In 2026, 66% of AI inference clusters run on Kubernetes. Learn how to configure the NVIDIA Device Plugin, schedule GPU training jobs, use Karpenter fo
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In 2026, 66% of AI inference clusters run on Kubernetes. Learn how to configure the NVIDIA Device Plugin, schedule GPU training jobs, use Karpenter for spot scaling and optimize GPU costs by 40%.
What you'll learn
- Installazione e configurazione del NVIDIA Device Plugin per Kubernetes
- Schedulare Pod con richiesta GPU (nvidia.com/gpu resource)
- Training distribuito con PyTorchJob e TFJob (Kubeflow Training Operator)
- Karpenter NodePool per provisioning automatico di nodi GPU spot
- GPU time-slicing per condividere GPU tra piu Pod
This article is part of the Kubernetes Avanzato series on federicocalo.dev.
Read the full article
The complete article (20 min read) with code examples, diagrams, and practical exercises is available here:
➡️ 08 - AI and GPU Workloads on Kubernetes: Device Plugin and Training Jobs
https://federicocalo.dev/en/blog/kubernetes-ai-gpu-workload-device-plugin-training
By Federico Calò — Software Developer & Technical Writer