SparkSE is an independent provider serving open-weight models on hardware it owns. The weights are resident, the machines are in Sweden, and requests are answered on the Tenzro network.
Reasoning, served with a speculative drafter alongside it.
General and code work. The default for most requests.
A third family, so no single lineage is the only option.
More to follow. Each family earns its place by being good at something the others are not.
NVIDIA DGX Spark — Grace Blackwell silicon with a unified memory pool the CPU and GPU address as one. A 30-billion-parameter model loads whole on a single unit and stays resident, and units are added as capacity is needed.
No hall, no substation, no cooling plant. Capacity grows a unit at a time, and a unit is a desk and a socket.
Capacity at this scale sits where the people using it already are — an office, a lab, a home — on power and cooling a building already has, and arrives in increments a community can own.
SparkSE is owned and run by its operator. It uses Furcate to run the machines and the Tenzro network to answer requests — both are open, so anyone can stand up a provider the same way, and nothing here is a permission somebody granted.