How AI, containers, and safety-critical requirements are reshaping strategy
Edge teams are under pressure to modernize, but many software strategies can’t support new workload and deployment demands.
As edge AI, containerized workloads, and new OS platforms enter the stack, complexity is rising. Environments are fragmenting, and decisions are harder to unwind. Are current strategies keeping pace?
VDC’s latest research breaks down what’s changing across embedded operating systems, containers, and virtualization, separating real adoption from experimentation and exposing where current approaches fall short.
What You’ll Learn
- Where containers and virtualization deliver real value
- How safety-critical and regulatory requirements are reshaping architectures
- How edge AI is changing performance, isolation, and orchestration
- What’s driving the shift to open, hybrid, lifecycle-managed models
About the Research
Based on VDC’s analysis of the embedded and edge software ecosystem, including Canonical, eSOL, Green Hills Software, QNX, Red Hat, SUSE, SYSGO, Wind River, and more.
Download the executive brief to see where strategies fall short and what to do next.
