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Huawei Releases Atlas 900, World’s Fastest Artificial Intelligence (AI) Training Cluster

We will keep investing with a strategy that focuses on four key areas

Chinese tech giant Huawei on Wednesday released Atlas 900, the world’s fastest Artificial Intelligence (AI) training cluster which would help to make technology more readily available for different fields of scientific research and business innovation.

“The future of computing is a massive market worth more than two trillion US dollars. We will keep investing with a strategy that focuses on four key areas. We will push the boundaries of architecture, invest in processors for all scenarios, keep clear business boundaries, and build an open ecosystem,” said Ken Hu, Huawei’s Deputy Chairman.

Atlas 900 combines the power of thousands of Ascend processors. It takes Atlas 900 only 59.8 seconds to train ResNet-50, the gold standard for measuring AI training performance. This is 10 seconds faster than the previous world record, the company said in a statement.

Huawei also deployed Atlas 900 on Huawei Cloud as a cluster service, making extraordinary computing power more broadly accessible to its customers across different industries.

Huawei, Atlas 900, World
Chinese tech giant Huawei on Wednesday released Atlas 900, the world’s fastest Artificial Intelligence (AI) training cluster which would help to make technology more readily available. Pixabay

The company has offered these services at a great discount to universities and scientific research institutes worldwide.

Huawei estimates that in the next five years, statistical computing will become the mainstream and AI computing will account for more than 80 per cent of all computing power used around the world.

In addition, the company announced its flagship Kirin 990 System on Chip (SoC) will be available in India soon.

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The Kirin 990, which is also the world’s first 5G-integrated mobile chipset, is also the first mobile SoC to come with 10.3 billion transistors, thus making it incredibly fast and efficient. (IANS)

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