Simplifying GPU Workloads On-Prem? Here's What Actually Worked for Me
Let’s be honest. A lot of AWS customers are still running on-prem GPU servers. Sometimes it’s for internal model training jobs, sometimes it’s cost-sensitive work that doesn’t need cloud-scale reliability. The pattern is common, especially in R&D-heavy environments. The usual go-to is virtualization platforms. But those add complexity and licensing overhead most teams would love to ditch. So, I went looking for something cleaner.