Part 2/11:
It all began in 2017 when NVIDIA set the stage for a revolutionary approach to AI with its ambitious vision of establishing a reference architecture for what they termed a "superrod." In a pivotal meeting that aimed to define the data layer necessary for AI, a key voice emerged—one that proposed a different architecture altogether. The vision articulated was one that prioritized scalability, low latency, and the capacity to operate across distributed systems, whether in on-premises setups or multi-cloud environments.