MOSCOW (Sputnik) — The Neural Networks and Deep Learning Lab of the Moscow Institute of Physics and Technology (MIPT) have launched its first NVIDIA DGX-1 supercomputer designed for deep learning tasks.
"The computing power is fundamentally important for deep learning, the more powerful hardware we have, the more complex neural network architecture we will be able to work with. The complexity of the model often allows us to make a revolutionary breakthrough in solving practical problems…. Good equipment will allow us to solve practical problems, which we could not even undertake without it," MIPT's Neural Networks and Deep Learning Lab head Mikhail Burtsev said, as quoted by Russia's Vesti.ru portal.
The power of the supercomputer will be mainly used in the work on the iPavlov conversational intelligence project, which the lab implements jointly with Sberbank in the framework of the National Technological Initiative as Russia aims to decrease dependence on foreign-produced IT and other goods.
Nvidia DGX-1 is a server with a processing power of 170 teraFLOPS aimed at accelerating deep learning applications. It is based on new Volta architecture, features eight Tesla V100 graphics processing units (GPUs) and retails at $149,000.