What is an AI training cluster?

Introduction to Atlas 900 AI training cluster

The neural network architecture trained on large data sets covers everything from image recognition, natural language processing, In various aspects such as real-time video analysis and intelligent recommendation systems, training these neural network models requires a large amount of floating-point computing power. In recent years, significant progress has been made in the computing power and training methods of a single AI processor. However, the time required for AI training on a single machine is still unrealistically long. Therefore, a large-scale distributed AI cluster environment is needed to improve neural processing. Floating point computing capabilities of network training systems.

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The Atlas 900 AI training cluster released this time is composed of thousands of Shengteng 910 AI processors interconnected, which is the current global The fastest AI training cluster represents the pinnacle of computing power in the world today. Its total computing power reaches 256P~1024P FLOPS @FP16, which is equivalent to the computing power of 500,000 PCs.

Applicable scenarios of Atlas 900 AI cluster

Atlas 900 AI cluster mainly provides super computing power for neural network training of large data sets and can be widely used in science Research and business innovation allow researchers to train AI models such as images, videos, and voices more quickly, allowing humans to more efficiently explore the mysteries of the universe, predict weather, explore for oil, and accelerate the commercialization of autonomous driving.

Atlas 900 AI cluster can also provide cloud services, providing abundant and economical computing resources in the cloud, and an easy-to-use, high-efficiency, full-process AI platform to bring the ultimate experience to customers. Inclusive AI computing power that is “easy to obtain, affordable and convenient to use”.

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