For platform teams and regulated organizations — multi-tenant, governance, compliance, audit
The legal framework for treating accumulated organizational knowledge as a real asset is older than the AI conversation and incomplete in ways the AI conversation makes more visible. Worth pulling on the thread.
The NVIDIA device plugin, node taints and tolerations, the multi-tenancy reality of one GPU per pod vs MIG vs vGPU. The scheduling primitives that work at homelab scale on a single 1080 Ti and the ones that change shape entirely at fleet scale.
The default for AI in 2025 is hosted. The hosted default makes sense for some workloads and is structurally wrong for others. Worth being explicit about which workloads belong on-prem and why the inertia is hard to break.
Every AI team I've talked to has the same problem: private information moves through their tools, and nobody on the team owns it. The gap is real, it's getting wider, and something will force the issue. Here's the breakdown, and who should own it.
