After that point, we ran into the next problem which was the lack of computing power to process all this data and multi-layer neural networks. And this is where GPU – a kind of parallel computer – was created and first used in vector mathematics. This is the technology of Nvidia’s processor.
The next inflection point came with the use of GPU to accelerate the next generation of machine learning algorithms. This led to an explosion of AI research, development and application, all powered by NVIDIA.
Today, NVIDIA is turning into a data center company. This positioning has become evident with NVIDIA’s announcement to buy the data center networking company Mellanox for $6.9B. This is the first large size acquisition for NVIDIA and one that is in alignment with their belief that Datacenter will play an ever-increasing changing strategic role whose architecture will need to be agile and scalable.
“Future financial service centers will be powered like high performance computers”.
2020 is only a year away. In March NVIDIA`s GPU Technology Conference (GTC) is the place to hear use cases and innovative approaches to AI from some of the world’s largest financial institutions at GTC.