
COO & Co-Founder, Aravolta
Pietro focuses on the intersection of data center infrastructure and financial markets. His work explores how telemetry and real-time monitoring are transforming GPU asset financing, enabling lenders to move beyond industry averages to precision underwriting based on actual performance data.
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The Aravolta Node reads the building and electrical systems in your facility and publishes a checked feed of power and cooling data into NVIDIA DSX Exchange in weeks, with no added work for your team.

The largest data center ever built uses 2.5x the water of one In-N-Out. The water story is better than the headlines say, and the grid story is worse.

GPUs are already in orbit and the launch economics are getting close. One problem could still kill the whole idea: in orbit, you cannot fix anything.

The AI buildout is not a bubble. It is the early industrialization of cognition, and the constraint is megawatts, not customers.

Identical GPUs age at different rates depending on how they were run, and only telemetry shows which curve each one is on.

What BMS, EPMS, SCADA, and DCIM each cover in a data center, where they overlap, and when one platform can replace all four.

What a data center BMS costs: typical price ranges, per-point vs per-asset pricing, the line items behind a quote, and what a software-defined BMS changes.
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