# How to make your AI-as-a-Service more resilient

DevFeed: [How to make your AI-as-a-Service more resilient](<https://devfeed.tech/articles/how-to-make-your-ai-as-a-service-more-resilient-11624.md>)

Original publisher: [Read original article](<https://www.gremlin.com/blog/how-to-make-your-ai-as-a-service-more-resilient>)

Author: Andre Newman

Published: 2025-02-24T00:00:00Z

Content type: article

Language: en

Sources: [Gremlin Blog](<https://devfeed.tech/sources/gremlin-blog.md>)

Topics: [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Availability](<https://devfeed.tech/topics/availability.md>), [cloud-infrastructure](<https://devfeed.tech/topics/cloud-infrastructure.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [Networks](<https://devfeed.tech/topics/networks.md>), [benchmarking](<https://devfeed.tech/topics/benchmarking.md>), [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [availability](<https://devfeed.tech/tags/availability.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [industry](<https://devfeed.tech/tags/industry.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [networks](<https://devfeed.tech/tags/networks.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [scale](<https://devfeed.tech/tags/scale.md>), [testing](<https://devfeed.tech/tags/testing.md>)

## AI overview

This article explains why AI-as-a-service systems are difficult to keep reliable. It focuses on infrastructure reliability, describing AI architectures as distributed, networked, and designed to scale, and recommends reliability testing and orchestration to reduce failures and downtime.

## Source excerpt

Getting an AI-powered service up and running is hard; keeping it running is even harder. Read how AI-as-a-service systems can fail and how Gremlin makes them reliable.