Insights & Updates
Technical perspectives on AI deployment, benchmarking, and infrastructure intelligence.
Ghost Capacity™ — Every Architecture Has It. Most Teams Have Never Measured It.
Same hardware. Same model. Same precision. Different economic outcome. You cannot buy your way out of this — you can only measure your way out of it.
A measurement deep-dive on the four most widely deployed enterprise AI platforms — NVIDIA H100/A100, AMD MI300X, AWS Inferentia2 — and the full production stack vendor tools were never designed to see.
Read the full post →Previous Posts
Something Is Wrong With Your AI Infrastructure. You Just Can’t See It Yet.
RunIQ Labs instrumented inference deployments across NVIDIA H100, A100, AMD MI300X, and AWS Inferentia2. Sustained runtime throughput diverged from benchmark expectations by as much as 39%.
Read more →Introducing RunIQ Labs — Closing the AI Deployment Gap
Every layer of your AI stack is losing payload. Most organizations have never measured where. RunIQ Labs emerges from stealth as the independent measurement layer enterprise AI infrastructure was missing.
Read more →