Christofari

Christofari is a supercomputer created by Sberbank of Russia and Nvidia. It was presented by Herman Gref, CEO of Sberbank, and David Rafalovsky, CTO of Sberbank Group, on 8 November 2019, at the AI Journey conference in Moscow.
As of March 2020, this is the only supercomputer in Russia designed specifically for working with artificial intelligence algorithms. It is capable of training software models based on complex neural networks in unprecedentedly short time, it's Russia's fastest supercomputer. The supercomputer can be used for commercial, research, and government organizations working in various economic sectors, such as oil and gas, aviation, electric power, heavy industry, healthcare, telecommunications, retail, financial sector and many more. Only the largest corporations in Russia were able to use technology like that, but with the Christofari any startup or a small business can do that, says Rafalovsky.
The supercomputer is named after , the first customer of Sberbank, holder of the Bank's first savings account passbook.
Overview.
Developed by Sberbank's subsidiary SberCloud in a partnership with NVIDIA, the machine is based on high-performance NVIDIA DGX-2 nodes equipped with Tesla V100 compute accelerators.
The Christofari has demonstrated a benchmark power of about 6.7 petaFLOPS, making it the 29th most powerful computer in the world, the seventh in Europe, and the first in Russia. This is the first supercomputer in the world available for commercial use for any company, research center or government structure created by financial institution. 
The supercomputer is placed inside the Sberbank data center (DC) at the Skolkovo Innovation Center in Moscow (Russia). 
Applications.
The supercomputer is available for rent for the cost of 5,750 rubles per minute. When not leased to customers, it will be provided to universities and academic structures.
The Christofari is available to SberCloud cloud service users since December 12, 2019.
Sberbank already uses it among other things for speech recognition when analyzing customer calls to the bank's call center, as well as for the work of automated robot operator (40% of customer inquiries are already answered automatically by bots). SberCloud cloud platform customers are already using and testing the supercomputer.
Design.
With Christofari architecture based on NVIDIA DGX-2, model complexity and size are no longer constrained by the limits of traditional architectures. Supercomputer delivers a ready-to-go solution for rapidly scaling up AI. Flexible networking options for building the largest deep learning compute clusters, combined with virtualization speed scaling and improve user and workload isolation in shared infrastructure environments. With an accelerated deployment model and an architecture purpose-built to scale easily, Data Scientists can spend more time driving insights and less time building infrastructure.
The performance scales linearly as more servers are added to the cluster and  AI models that would consume weeks of general CPU-based systems can now be trained in a few days. A single server node with V100 GPUs can replace over 60 CPU nodes. With this dramatic reduction in training time, a whole new world of problems will now be solvable with AI.
GPUs powered by Tensor Cores gives immediate path to faster training and greater deep learning performance. Tensor Cores can accelerate large matrix operations, which are at the heart of AI, and perform FP32 and FP16 mixed-precision matrix multiply and accumulate calculations in a single operation. With hundreds of Tensor Cores operating in parallel in one GPU, this enables massive increases in throughput and efficiency, and acceleration of AI training.
The DGX servers are connected by 36-port Mellanox switch, supporting up to four InfiniBand EDR connections at 100 Gb/s. 