Increase capital twice more! The UK will invest 300 million pounds to increase AI supercomputing capabilities by more than 30 times [with analysis of the global supercomputing industry]

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Xinhua News Agency news, the British government announced on November 2 that will increase investment in artificial intelligence (AI) research resources to 300 million pounds (approximately 366 million U.S. dollars), which is higher than the 100 million pounds announced in March this year. Billions of pounds have been tripled to boost UK supercomputing power by more than 30 times.

British Minister of Science, Innovation and Technology Michelle Donlan announced at the Artificial Intelligence Security Summit held at Bletchley Park in the UK on the 2nd that will build and connect two new supercomputers in the UK, increasing the computing power of the British public artificial intelligence computing facilities that researchers will rely on when accessing resources in the future by more than 30 times. The two supercomputers will start operating in the summer of 2024 after being connected. Researchers can use these machines to analyze advanced artificial intelligence models to test safety properties and drive research breakthroughs in drug discovery and clean energy.

As the demand for computing power increases in fields such as scientific research, engineering design, and artificial intelligence, supercomputers have become an essential tool. Globally, the supercomputing market is highly competitive, with the United States, China and other countries taking the lead in the field of supercomputing. At the same time, new technologies such as cloud supercomputing and edge computing have also brought new opportunities to the supercomputing market. However, the supercomputing market also faces challenges, such as high cost and energy consumption.

Scale of the global supercomputer market

In recent years, the expansion of the IT industry, advancements in virtualization and the growing demand for hybrid high-performance computing solutions have driven the expansion of the supercomputing market. Benefiting from their ability to process large amounts of data at higher speeds, HPC systems are widely adopted by government agencies, defense agencies, academic institutions, energy companies, and utilities. According to statistics from Hyperion Research, the global supercomputing industry market size will be US$30.955 billion in 2022, a year-on-year increase of 4.24%.

——Supercomputing market structure

From the perspective of the global supercomputing industry market structure, the overall HPC local deployment market structure from 2019 to 2022 is relatively stable. Among them, HPC servers account for around 50%, with a scale of US$15.441 billion in 2022, accounting for 49.88% of the overall market. In addition, storage accounts for about 20% of HPC expenditures, and the scale will account for 20.70% in 2022; the market shares of HPC middleware, applications, and services in 2022 will be 5.78%, 16.45%, and 7.18% respectively.

——Supercomputing application structure

From an application perspective, global supercomputing industry applications are mainly concentrated in the fields of life sciences, CAE, mechanical engineering, finance, EDA, geography, mechanical design, government, academic research, national defense and meteorology. Among them, government and academic research account for slightly higher than other fields, reaching 21.64% and 17.33% respectively in 2022; CAE and life sciences follow closely, reaching 11.45% and 10.37% respectively in 2022; the proportions of other fields do not exceed 10%.

Regarding the future development trend of supercomputing, Chen Shiqing, an academician of the U.S. National Academy of Engineering, an academician of the American Academy of Arts and Sciences, and a world-renowned supercomputer pioneer, said that today’s supercomputers have reached a point where they consume too much energy. Development bottleneck, In the future, supercomputing will evolve from centralized to distributed, penetrating into communities, streets, industrial parks, universities and research institutions. At the same time, supercomputing and brain science will also move toward deeper integration.

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