Translated with AI
On June 9, in Sunnyvale, California, USA, Azizjon Azimi, Chairman of the Council on Artificial Intelligence under the Ministry of Industry and New Technologies of the Republic of Tajikistan, met with Dr. Natalia Vasilyeva, Vice President and Chief Technology Officer (CTO) of Cerebras Systems. This was reported by the press service of the Council on Artificial Intelligence under the Ministry of Industry and New Technologies of the Republic of Tajikistan.
During the meeting, it was noted that Tajikistan already has a "green" artificial intelligence cluster based on GPU chips, which has attracted both local and regional consumers of computing power.
The parties discussed prospects for the further development of artificial intelligence infrastructure in the republic. Given the country's significant potential for hydropower generation, opportunities for launching and operating new AI data centers were discussed, including those based on the Wafer Scale Engine (WSE) architecture.
During the negotiations, it was emphasized that Cerebras' WSE chips are the largest and most powerful computer processors in the world.
Azizjon Azimi congratulated Cerebras Systems' management on its successful IPO and noted the company's growing global role in the development of high-performance computing and artificial intelligence infrastructure.
Cerebras' participation in the Area AI consortium received special attention during the discussions. It was noted that the company is one of the anchor participants in the world's first Special Zone for Artificial Intelligence in Dushanbe.
The Chairman of the Council on Artificial Intelligence emphasized that the existing "Area AI 1.0" platform provides leading global AI companies with the opportunity to accelerate the launch and operation of green energy-powered artificial intelligence data centers in Tajikistan.
Cerebras Systems was founded in the United States in 2016 and specializes in developing high-performance computing systems for artificial intelligence. The company's technology is based on the Wafer Scale Engine (WSE) architecture—the world's largest computing chip designed for training and inference of large-scale AI models. The company is publicly traded on the Nasdaq stock exchange. Its current market capitalization is $50 billion.
