Russia has an ambitious plan to build up to ten supercomputers by 2030, each potentially housing 10,000 to 15,000 Nvidia H100 GPUs. From a computing perspective, this would provide the nation with performance on a scale similar to that which was used to train Chat GPT. Formidable in general, a system featuring so many H100 GPUs could produce some 450 FP64 TFLOPS, which is half of an ExaFLOP, a level of supercomputer performance that has only been achieved by the U.S., so far.
Spearheaded by the 'Trusted Infrastructure' team, the Russian project promises to push the boundaries of computational capabilities, with each machine potentially boasting between 10,000 to 15,000 Nvidia H100 GPUs. However, the desired compute AI and HPC GPUs would come from Nvidia, an American company.
Russia's most powerful supercomputer is Chervonenkis, it is owned by Yandex and is equipped with 1,592 nodes featuring Nvidia A100 GPUs. It ranks 27th in the world for computational power, with a performance of 21.53 PetaFLOPS. Three of the seven Russian supercomputers belong to Yandex (Lyapunov, Chervonenkis, and Galushkin), two to Sberbank (Christofari and Chrisofari Neo), and one each to MSU (Lomonosov) and MTS (GROM). All of them operate on Nvidia GPUs from previous generations.
