Andreas Prins SUSE
By: Andreas Prins

October 1, 2026 7:01 am

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Avoiding Vendor Lock-In Through an Open Source Approach: A Developer’s Perspective

Every infrastructure team makes decisions that are difficult to reverse. Most of the time, that works out. Sometimes it does not. Vendor lock-in usually begins as a reasonable choice, made under pressure, that solves a real problem at the time. A managed service ships faster or a deployment model fits better in that moment, but […]

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By: Rhys Oxenham

October 1, 2026 6:51 am

87 views

The Rise of Agentic AI on Kubernetes: Unleashing the New Infrastructure Layer

AI is changing expectations around infrastructure and operations, including Kubernetes management. When models run close to the data they use, it tends to push deployment, scaling and governance responsibilities onto platform teams. And as clusters, environments and operational signals continue to multiply, manual operations often strain under the added weight. AI may simultaneously provide opportunities […]

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By: Stacey Miller

September 28, 2026 9:00 am

368 views

We Gave Our Agents Autonomy. Here’s How We Kept Control.

Co-authored by Stacey Miller & Troy Mangum Key Takeaways The problem: Agents have demonstrated their ability to escape lab environments and access unauthorized systems. Prompt and model safeguards guide behavior; infrastructure controls limit access and actions. The solution: SUSE AI Factory with NVIDIA with NVIDIA Open Agent Safety Platform helps enforce agentic security at […]

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By: Eric Lajoie

September 19, 2026 6:27 am

184 views

SUSE at World Summit AI 2026: Enabling Sovereign Enterprise AI

Key takeaways Connect with SUSE experts at World Summit AI 2026 in Amsterdam to explore sovereign enterprise AI solutions. Save 20% on event registration with discount code SUSE20. Visit Booth G42 to learn how to transition AI workloads safely from sandbox development to global production. European enterprises are accelerating AI adoption while prioritizing open, sovereign […]

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By: Stacey Miller

September 16, 2026 1:14 am

211 views

AI Sovereignty: The Blueprint for Strategic AI Resilience

AI adoption is moving faster than most enterprise IT strategies can keep up with. New models, new vendors and new deployment patterns show up every quarter, and each one asks you to hand over a little more control over your data, your workflows or your intellectual property. If you are already juggling a distributed, hybrid […]

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By: Stacey Miller

September 14, 2026 2:35 pm

196 views

Private Enterprise AI: How SUSE AI Factory Moves GenAI Beyond the Pilot Stage

Most enterprise AI projects never make it past the demo. A team spins up a proof of concept, it impresses a room and then it stalls. Governance questions do not have answers yet, the public cloud bill is unpredictable and nobody signed off on where the model actually runs. Months later, the pilot is still […]

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By: Stacey Miller

September 4, 2026 6:45 am

294 views

Escaping the Black Box: How Private Enterprise AI Addresses Compliance, Control and Costs

Almost everyone in enterprise AI agrees that nobody wants a black box. Depending on the person, that concern may center on a public model, a hosted service or someone else’s cloud. In each case, the underlying issue is opacity and the risks it creates. Visibility, decision authority and economic insight are the first things […]

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By: Stacey Miller

September 2, 2026 5:45 am

305 views

From Pilot to Production: How to Scale Enterprise AI Without Operational Sprawl

Proving an AI use case and scaling it across your enterprise are different problems. Pilots have limited operational scope, meaning that there are fewer teams, integrations, environments and support requirements to consider. As more teams move AI into production, a pilot’s unique and previously reasonable decisions can accumulate quickly. And platform teams are the […]

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By: Stacey Miller

August 28, 2026 1:23 am

349 views

From Stalled PoCs to Enterprise AI: Why an Open Platform Holds the Key

Like many enterprises, you have already put real time, budget and engineering attention into enterprise AI. The models have been tested, prototypes demoed and early use cases validated. And as more time elapses, leadership may push harder for those investments to show up as measurable business value.  A working experiment is just not the […]

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