For ₹118,000 including GST, MATH’s year-long Nuage programme offers AI founders a route to compute, mentors and potential customers. The interesting part is how those pieces fit together.

Before AI teams worried about feeding GPUs, Bin Fan was making key-value systems waste fewer bytes. His career follows one stubborn question across two technological eras: how do you keep expensive machines from waiting on data?
A failed platform-as-a-service taught two founders that the expensive part of Kubernetes was not the workload. It was the cluster itself. Their answer was to put a real control plane inside another cluster - and make infrastructure multiply without multiplying the bill.

He learned the internet through portals, games and partnerships. Now the former Google executive is testing the economics and infrastructure of open-source AI with his own hands.

From Lotus and Changepoint to Kubex, the Toronto software executive has built a career around a stubborn enterprise problem: data is only valuable when someone can act on it.
The Miami-born company is stitching independent data centers into one programmable GPU network. Its wager is that the real bottleneck in AI is no longer buying chips - it is keeping them provisioned, occupied and earning.
It bet on OpenStack, bought Docker Enterprise, and now wants to turn your GPUs into an AI factory - all without locking you in. In August 2026, IREN bought the whole thing for $625 million.