According to foreign media reports such as Tom’s Hardware, Russia has set an ambitious goal: to build up to 10 supercomputers before 2030, and each supercomputer can accommodate 10,000- 15,000 NVIDIA H100 GPUs, which will provide the country with performance similar to that used to train large language models such as ChatGPT.
It is said that under the leadership of the “Trusted Infrastructure Team”, Russia is trying to redefine computing capabilities, claiming to “break through the limits of computing power” with a project budget of approximately US$6 billion. However, the required costs are expected to decrease in the coming years as technology rapidly develops. It is estimated that the cost of these systems may drop to US$500-700 million by 2030.
Currently, Russia’s most powerful supercomputer is Yandex’s Chervonenkis, ranked 27th in the world for computing power. A total of 7 computers in Russia are among the top 500 in the world, 3 of which belong to Yandex.
For comparison, the United States has 150, China has 134, Germany has 36, and Japan has 33.
According to previous reports, Russian technology giant Yandex said in an interview at the beginning of last month that YandexGPT developed by the company has greater promise than ChatGPT developed by American competitor OpenAI.
Dmitry Masyuk, director of Yandex’s search and advertising technology business unit, said that YandexGPT’s performance in generating Russian content has been able to “steadily surpass” ChatGPT version 3.5, and even provides better answers than ChatGPT 4.0 in many cases. He also said that YandexGPT is in line with its U.S. It will be “just a matter of time” before rivals compete.
Image source Pixabay, for reference only
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