Signal Over Noise
A live map of the AI build-out — where the capital is actually flowing, and where the story is getting ahead of the fundamentals.
Global Indices
Supply Chain Heatmap
Today's Focus
Overnight US → Next Session
NVIDIA and Broadcom set the pricing anchor for the whole accelerator complex. A strong session in this pair is one of the more reliable next-session tells for the chip-equipment and test names that supply into the same build-out.
Microsoft, Amazon and Alphabet's capex commentary is the single most-watched signal for the power and cooling infrastructure names that build out the data centres behind that spending.
Supermicro and Dell set the tone for AI-server build volume. Networking and interconnect suppliers into the same racks tend to trade on the same signal a session later.
Supply Chain Map
The AI Hype Trends
Neocloud IPO Watch: Reading Through the Unit Economics
A wave of GPU-rental neoclouds is heading toward public markets. The pitch is straightforward; the unit economics — utilisation, depreciation schedules, contract duration — are where the real debate is.
The pitch
Neoclouds buy or lease GPU clusters and rent compute capacity to labs and enterprises that don't want to build their own data centres. Revenue growth has been extraordinary industry-wide, and the pitch to public investors is straightforward: they're the fastest way to get exposure to AI infrastructure demand without picking a single model winner.
Where the debate actually is
The contested questions aren't about demand — they're about depreciation schedules on rapidly-iterating GPU generations, customer concentration, and how much revenue comes from long-duration contracts versus spot pricing that could compress quickly if supply catches up. A neocloud with heavy exposure to prior-generation chips and short-duration contracts has a very different risk profile than one with multi-year hyperscaler-anchored commitments, even if both show similar topline growth.
What to watch in any prospectus
Utilisation rate trends, average contract duration, customer concentration, and the assumed useful life of GPU assets on the balance sheet are the four numbers that matter most. Growth rate alone says very little about whether the underlying economics can support the valuation being asked.