
The Infrastructure Decisions That Are Hardest to Undo
Learn which infrastructure decisions are hardest to undo, from storage and networking to identity, integrations, data location, and APIs.
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Engineering notes from operating open infrastructure: the failures, design decisions, and upstream work that make open infrastructure better.
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Learn which infrastructure decisions are hardest to undo, from storage and networking to identity, integrations, data location, and APIs.
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Learn how to safely upgrade production GPU infrastructure across NVIDIA drivers, CUDA, Kubernetes, firmware, containers, and AI workloads.
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Your cloud bill is only part of the cost. Learn how operations, licensing, data movement, utilization, and migration affect cloud TCO.
Read field noteTrends, best practices, and technical deep dives on open source cloud infrastructure.

GPUs get the headlines but storage, networking, and scheduling determine real AI performance. Learn what actually matters and how open infrastructure helps.

VEXXHOST's recap of KubeCon Europe 2026 in Amsterdam — key trends in managed Kubernetes, data sovereignty, platform engineering, AI infrastructure, and security.
Choosing between active-active, active-passive, and federated Kubernetes across regions? A practical breakdown of when each pattern fits, how each fails, and what to get right before you deploy.
The EU AI Act takes effect August 2026. Compliance starts at the infrastructure layer. Learn why sovereign AI needs OpenStack, Kubernetes, and Atmosphere.
Learn how a lightweight keystoneauth1 plugin brings your existing browser-based MFA and SSO to the OpenStack CLI, with no changes to any client tools.
Hyperscaler AI looks fast but hides long-term lock-in and rising costs. See how OpenStack and Kubernetes deliver GPU infrastructure you actually control.
Many AI clusters run at only 30–50% GPU utilization. Learn why GPUs sit idle and how Kubernetes, scheduling, and better infrastructure design can improve AI infrastructure efficiency.
AI sovereignty starts at the infrastructure layer. Learn why governments choose OpenStack and Kubernetes to control compute, data, and AI workloads.
AI demand is outpacing GPU supply. Learn why enterprises are rethinking where AI workloads run in 2026.
GPUs are the new cloud lock-in. Learn how OpenStack, Kubernetes, and Atmosphere give you AI infrastructure control without hyperscaler dependency.