AI Infrastructure on Kubernetes: NVIDIA Run:ai & KAITO

Description

Building and managing a scalable AI infrastructure on Kubernetes is complex. How do you share expensive GPUs, eliminate resource contention, and control cloud costs without creating a DevOps nightmare? a.The Core Problem: Managing GPUs on vanilla Kubernetes is inefficient and costly. b.KAITO: @Microsoft solution offers a zero-configuration path for AKS users, with automatic node provisioning and cost optimization. c.NVIDIA Run:ai : @NVIDIA platform provides enterprise-grade power with fractional GPU sharing, advanced scheduling, and multi-cloud flexibility. Official Documentation: https://www.nvidia.com/en-us/software/run-ai/ https://azure.microsoft.com/en-us/blog/building-the-future-together-microsoft-and-nvidia-announce-ai-advancements-at-gtc-dc/ https://aws.amazon.com/blogs/containers/maximizing-gpu-utilization-using-nvidia-runai-in-amazon-eks/ https://kaito-project.github.io/kaito/docs/ 📌 Subscribe for More AI & Dev Tools If you found this helpful, subscribe for weekly tutorials: 👉 @itascode 🔗 Let's connect on LinkedIn: https://www.linkedin.com/in/murali-dulam-6b1b14241/ https://youtu.be/qUubQS_HtnM https://youtu.be/hJM_1LJt4uk https://youtu.be/uPka7M-wDU4 https://youtu.be/sWQgFQGnldI https://youtu.be/sQzDe-eKMbY https://youtu.be/j8jFc_Soy8s https://youtu.be/HDnzVWSSS4M https://youtu.be/0_ptB6G6EuI https://youtu.be/o7Nh3Zk2WOw https://youtu.be/lwuKYfjMHI4 https://youtu.be/Pz-KqJHP5JE https://youtu.be/EfcG2mjXu2c https://youtu.be/paNfnTWRAi8 https://youtu.be/ELSWp9DdyQ0 https://youtu.be/ktBPZoZKwmU https://youtu.be/fCKoOW_mTnw #aiinfrastructure #aiops #kubernetes #gpu #kaito #aws #google #azure #mlops #cloudcomputing #devopslife