Open AI requires community-governed infrastructure and companies willing to contribute code, engineering and costly GPU cycles. NVIDIA is doing exactly that ...
Techstrong's Experts Exchange this October, Cloud Native Now: The AI Stack, and this November's KubeCon in Salt Lake City are both making the same case for cloud native and AI. The argument ...
Container image security has quietly stayed stuck on the same problem it had a decade ago. Finding vulnerabilities is trivial — every major scanner returns pages of them from the average image ...
Enterprise AI feels like a clean break from everything before it. Look closely at what makes it run in production, and you find fifteen years of cloud native engineering that solved these ...
For the last fifteen years, the cloud native community has been busy doing what it does best: solving hard operational problems, usually before the rest of the industry fully understands why those ...
The job of “protecting the data” in a cloud-native environment used to mean snapshots and offsite copies of stateful workloads. That definition is breaking down quickly. Once an organization starts running RAG ...
Kubernetes was hard. Nobody who lived through the early container years should pretend otherwise. The industry had to learn a new operating model, a new control plane, a new vocabulary and a ...
Open Source Summit North America has always been a good place to see where infrastructure is going before the market fully catches up. This year, the signal is not exactly subtle. The ...
For years, the case for ripping out a legacy hypervisor was mostly philosophical — the migration cost almost always outweighed the upside. Market consolidation and aggressive licensing changes have flipped that math ...
Enterprises are juggling three migrations at once: lifting workloads off legacy virtualization stacks, modernizing what’s already running on Kubernetes, and figuring out where agentic AI fits inside both. Each of those shifts ...