Introducing B3IQ.
A new model to own, run and monetize compute.
Already being used by faculty, researchers, and student teams at Stanford, NYU, Penn, UChicago, Dartmouth, Waterloo, and the University of Hawaiʻi.
NVIDIA compute is fungible, durable and highly rentable. It is a productive, revenue-generating asset.
B3IQ provides the easiest path to own it:
→ financing and hosting the hardware
→ deploying it for inference workloads
→ helping owners monetize idle capacity
Usage-based billing means the bill grows every time your team gets more productive.
Matt Huffman, Head of Fleet at B3IQ, on why fixed-cost local inference starts to pencil out.
Andy Markus, who runs data and AI at AT&T, went looking for cheaper alternatives to closed models and landed on open ones.
Open models were 20% of the company's AI use in May and 40% now, and he expects 60% within months, with savings up to 80% against what AT&T paid earlier
