# Building a reliable cloud native foundation for distributed AI training

DevFeed: [Building a reliable cloud native foundation for distributed AI training](<https://devfeed.tech/articles/building-a-reliable-cloud-native-foundation-for-distributed-ai-training-4603.md>)

Original publisher: [Read original article](<https://www.cncf.io/blog/2026/09/11/building-a-reliable-cloud-native-foundation-for-distributed-ai-training/>)

Author: Abhi Kulkarni and Shishir Jindal, Atlassian

Published: 2026-09-11T11:00:00Z

Content type: article

Language: en

Sources: [Cloud Native Computing Foundation](<https://devfeed.tech/sources/cloud-native-computing-foundation.md>)

Topics: [Training AI Models](<https://devfeed.tech/topics/training-ai-models.md>), [Machine learning](<https://devfeed.tech/topics/machine-learning.md>), [distributed-systems](<https://devfeed.tech/topics/distributed-systems.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [cloud-infrastructure](<https://devfeed.tech/topics/cloud-infrastructure.md>), [Network design](<https://devfeed.tech/topics/network-design.md>), [Inference](<https://devfeed.tech/topics/inference.md>)

Tags: [ai-training](<https://devfeed.tech/tags/ai-training.md>), [blog](<https://devfeed.tech/tags/blog.md>), [distributed-training](<https://devfeed.tech/tags/distributed-training.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [storage](<https://devfeed.tech/tags/storage.md>)

## AI overview

The article explains how to make multi-node AI training reliable by treating inter-node communication, shared storage, hardware placement, network topology, and validation as platform concerns. It identifies RDMA for GPU-node communication and Lustre for concurrent training-data and checkpoint access.

## Source excerpt

AI workloads are changing what platform teams need from infrastructure. Provisioning GPUs and standing up a cluster no longer makes a platform "AI-ready." Once training spans more than one node, the bottlenecks show up in places...