I help companies secure high-density AI infrastructure under real power and timeline constraints.
Martin Hack · SF Bay Area / Global
Prior: Skytree (acquired), Sun Microsystems, GreenBorder (aquired by Google).
Multi-year work on AI site selection, interconnection risk, and energy systems.
Short paid diagnostic → fixed-scope site or market work → ongoing fractional capacity support.
Structured for companies that need speed and judgment more than headcount.
The diagnostic is a short, paid engagement that produces a written memo assessing your AI capacity target against real power, density, timeline, and structural constraints. It is the required first step before any ongoing work.
Principals and operators with a live high-density AI compute capacity need and decision authority. It is not for brokers, general market research, or exploratory tire-kickers.
One primary capacity target and up to two sites or options. Focus is on power and energization risk, technical fit (density and cooling), timeline realism, and binding commercial or structural constraints.
You receive a written memo with findings and recommendations. There is no obligation to continue. If it makes sense, we can move to a fixed-scope or monthly retainer engagement under a separate agreement.
Yes. After the diagnostic, many clients move to fractional capacity support: site underwriting, power strategy, vendor alignment, and regular working sessions. Engagements are structured for speed and judgment rather than headcount.
I work with a limited number of companies at any time. The diagnostic is the required first step — it is paid and includes a short written memo.
After submission you will receive the diagnostic scope, price, and booking link.
This work is for principals with a live capacity need and decision authority.
It is not for brokers or general market research.