Carmine Rimi of Canonical and Tony Paikeday, NVIDIA, discuss the need for flexibility, performance, and ease of use in AI development solutions. They continue to address how NVIDIA's DGX platforms and Ubuntu emphasize accessibility for these data scientists and engineers, allowing them to get up and running quickly with familiar technology.

AI and ML adoption in the enterprise is exploding from Silicon Valley to Wall Street. Ubuntu is becoming the premier platform for these ambitions — from developer workstations, to racks, to clouds and to the edge with smart connected IoT. But with new developer trends comes a plethora of new technologies and terminologies to understand.