Pavel Bushuyeu spends his days studying how skin cancer affects people of Pacific Island descent. He’s a PhD student in computer science at the University of Hawaii, and like a growing number of academics, he relies on AI to push his research forward. The problem: getting his hands on enough computing power to actually do the work. The rent-to-own pitch B3 Labs, operating under the brand B3IQ, sells dedicated NVIDIA GPU servers on a rent-to-own basis. Customers put 30% down on a machine, and the company handles hosting, power redundancy, and round-the-clock support at an enterprise-grade data center in Eugene, Oregon. The hardware is assembled in the US by a firm called Andromeda Insights. Machines range up to frontier-level NVIDIA systems, the kind of silicon that typically lives behind corporate firewalls or inside hyperscaler data centers, not in a grad student’s research pipeline. For researchers who don’t need their full compute allocation at all times, B3IQ offers a revenue-sharing arrangement. Unused GPU cycles get routed through what the company calls an AI traffic demand network, generating income from day one. Under certain payment projections, B3IQ outlines an 8% interes...
B3IQ targets university researchers with rent-to-own GPU machines
2 weeks ago
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