
AI Networking: What GPU Infrastructure Really Requires
Learn how AI workloads change network design across GPU clusters, storage, east-west traffic, RDMA/RoCE, Kubernetes placement, and production inference.
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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 how AI workloads change network design across GPU clusters, storage, east-west traffic, RDMA/RoCE, Kubernetes placement, and production inference.
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Booting a GPU server isn't the same as making it production-ready. How Atmosphere unifies OpenStack, Ironic, and Kubernetes to turn H200 hardware into recoverable, reusable AI infrastructure.
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Compare GPU VMs, bare metal, Kubernetes, and managed inference for AI workloads. Learn which architecture fits your performance, control, scaling, and operational needs.
Read field noteTrends, best practices, and technical deep dives on open source cloud infrastructure.

Updating OpenStack can be complex due to its intricate architecture, interdependencies, customisation, data migration challenges, the need for minimal downtime, extensive testing requirements, sometimes outdated documentation, resource demands, the necessity for skilled personnel, and frequent release cycles.

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What if your Kubernetes clusters could scale all the way down to zero? We’ve rolled out a powerful update to the Magnum Cluster API driver that gives you more control, more efficiency, and a whole new level of flexibility.
What happens when research outgrows its cloud? See how UB revamped its HPC with Atmosphere OpenStack for better scalability, automation, and performance.
This post looks at why open-source clouds democratize access to advanced technology, and how Atmosphere helps companies use OpenStack without wrestling with all the usual headaches.
Our latest Magnum Cluster API driver update brings intelligent SCSI disk bus support and a next-level migration to Rust, delivering greater scalability, efficiency, and innovation.