Resources
Platform engineering notes.
Practical writing on running AI workloads in production: GPU platforms, RAG infrastructure, edge fleets, and the operational patterns that keep systems reliable.
Published posts
Blog7 min read
What Platform Engineering Actually Means for AI Teams
The gap between a working model and a reliable production system is a platform problem. Here is what that layer covers, what it does not, and when your team needs it.
Read postBlog8 min read
The Production Readiness Gap in AI Platform Engineering
A working model is not a production system. Engineering leaders need a clear view of what is actually in place before AI workloads face real traffic, real cost, and real incident pressure.
Read postReady to take your AI workloads to production?
Let's talk about your platform: cloud, hybrid, or edge. Start with a short, no-pressure conversation.
