By @SiliconANGLE
Publication Date: 2026-05-08 20:56:00
Enterprise artificial intelligence is growing more complicated, and platform engineering is becoming the control layer that keeps it moving.
As AI moves into production, the challenge is no longer just choosing models — it is getting data, applications, virtual machines, containers and inference workloads to operate across messy hybrid environments. That is where Red Hat Inc.’s open hybrid cloud strategy is becoming more relevant, giving enterprises a way to turn scattered infrastructure into a more consistent operating layer for AI, according to Paul Nashawaty, principal analyst at theCUBE Research.
“Red Hat Summit 2026 reflects the ongoing shift in application development toward platform engineering and AI-enabled workflows,” Nashawaty said. “Enterprises are standardizing on Kubernetes-based platforms to support consistent application delivery across hybrid environments, while integrating AI capabilities into development pipelines. This is increasing alignment between development and infrastructure teams, as applications, data and models are built and operated on shared platforms rather than through isolated toolchains.”
As part of SiliconANGLE Media’s ongoing look at the infrastructure choices shaping enterprise AI, this analysis examines how shared platforms, virtualization and open hybrid cloud control are changing the market. Don’t miss SiliconANGLE’s interviews and analysis from Red Hat Summit 2026, from May 11-13, for more on where Red Hat…