NEW RESEARCH NOTE · THE MEMORY WALL — inference-state economics after the Bloomberg AI infrastructure discussion. Get the report →
Independent AI infrastructure research · June 2026

The next AI bottleneck is inference state.

A 34-page investor research note on why KV-cache residency, memory tiering, and power — not just silicon supply — are becoming the binding constraints in AI infrastructure.

Get the report →
34
Pages
3
Core frameworks
3
Live case studies
PDF
Single-report license
Who's behind this

Research from the room, written for everyone who couldn't be in it.

AI Infra Research covers the physical and economic layer of AI — memory, serving systems, accelerators, power, and datacenter constraints — for people who need a clear framework rather than another headline summary.

This report is an independent research note, not investment advice. It uses public sources, technical papers, company materials, and market coverage to separate what is known, what is estimated, and what is still uncertain.

See the report →
Bloomberg discussion → written research note
Built from Nicole’s AI infrastructure framework and expanded with post-panel developments.
Technical + market lens
KV-cache math, memory tiering, compression papers, capex clocks, and power constraints in one investor framework.
Clear boundaries
No buy/sell calls. No personalized advice. Third-party figures are cited and treated as directional.

Get future AI infrastructure notes

A short note when new research, updates, or live briefings are available. No spam.