Fresh data has us asking, does AI demand Kubernetes?

Kubernetes is rapidly emerging as the de facto operating system for AI, with two-thirds of organizations using it for generative AI inference and 82% adopting it in production. Its ecosystem — including tools like Kubeflow — enables organizations to build, scale, and retain control of AI systems through open, community-driven infrastructure. Bob Killen of CNCF and Liam Bollmann-Dodd of SlashData shared insights from recent reports showing that AI success still hinges on strong engineering fundamentals—especially internal developer platforms and overall developer experience.

While AI-generated code accelerates development, it shifts bottlenecks to DevOps, reliability, and security, increasing operational complexity. As a result, operator experience and well-defined guardrails have become critical to safely scaling AI. These controls help constrain both human and AI developers, reducing risk while enabling speed. At the same time, organizations are evolving team structures, expanding platform engineering groups to support internal users more effectively. Despite growing complexity, the core lesson remains consistent: open source innovation thrives on people, processes, and collaboration as much as on technology itself.

Learn more from The New Stack around the latest in Kubernetes and its emergence as an operating system for AI:

Kubernetes and AI: Are They a Fit?

How AI Is Pushing Kubernetes Storage Beyond Its Limits

Kubernetes and AI Are Shaping the Next Generation of Platforms

Join our community of newsletter subscribers to stay on top of the news and at the top of your game.

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(300)

Pulumi Pursues Polyglotism to Expand Impact of DevOps

VALENCIA – The goal of DevOps was to break down silos between software development and operations. The side effect has become the blurring of lines between dev and ops. For better or for worse. Becaus...

21 Kesä 202217min

Unlocking the Developer

Proper tooling is perhaps the primary key to unlocking developer productivity. With the right tools and frameworks, developers can be productive in minutes versus having to toil over boilerplate code....

16 Kesä 202222min

MongoDB 6.0 Offers Client-Side End-to-End Encryption

"Developers aren't cryptographers. We can only do so much security training, and frankly, they shouldn't have to make hard choices about this encryption mode or that encryption mode. It should just, l...

16 Kesä 202217min

Simplifying Cloud Native Application Development with Ballerina

For the past six years, WSO2 has been developing Ballerina, an open-source programming language that streamlines the writing of new services and APIs. It aims to simplify the process of being able to ...

7 Kesä 202232min

The Future of Open Source Contributions from KubeCon Europe

VALENCIA – Open source code is part of at least 70% of enterprise stacks. Yet, a lot of open source contributors are still unpaid volunteers. Even more than tech as a whole, the future of open source ...

1 Kesä 202218min

Simplifying Kubernetes through Automation

VALENCIA, SPAIN —Managing the cloud virtual machines (VMs) your containers run on. Running data-intensive workloads. Scaling services in response to spikes in traffic — but doing so in a way that does...

1 Kesä 202214min

One of Europe’s Largest Telcos’ Cloud Native Journey

Telecoms are not necessarily associated with adopting new-generation technologies. However, Deutsche Telekom has made considerable investments cloud in native environments, by creating and supporting ...

1 Kesä 202216min

OpenTelemetry Gets Better Metrics

OpenTelemetry is defined by its creators as a collection of APIs used to instrument, generate, collect and export telemetry data for observability. This data is in the form of metrics, logs and traces...

25 Touko 202220min