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Deep learning solutions

Deep learning solutions

Powerful computing platform

Powerful capacity expansion

Preset framework datasets


SuperAI hardware platform

MZCH AI is a set of deep learning solutions built based on the underlying high-performance GPU computing hardware platform for artificial intelligence analysis. In terms of hardware, we have adopted Rongke's classic GPU server products for the AI field, supporting the new fifth-generation Intel Xeon Scalable processors, and supporting up to 10 GPUs per node, which is a strong support for SuperAI to show its AI technical strength, and can easily build a robust and reliable AI computing platform for customers.



Application Case of MZCH AI


An artificial intelligence laboratory focuses on the research and development of artificial intelligence and intelligent robots. With the rise of artificial intelligence, the number of laboratory equipment is increasing, but the problem of insufficient resource utilization is also becoming more and more serious. There are problems such as time-consuming and laborious development environment construction, low computing efficiency and inability to optimize, and low computing performance and long time consuming for small-scale machines.

MZCH AI deep learning solution

Provides RDMA, distributed storage and other technologies

Multiple machines can be used to compute in parallel, which greatly improves computing efficiency

The integrated development environment greatly reduces the technical threshold for users

Conduct comprehensive monitoring of resources and know how much resources are remaining at any time


We have successfully applied the MZCH AI deep learning solution to the AI laboratory, making the use and management of multi-user AI resources easy and smooth, and meeting the needs of the laboratory. As a classic solution launched by MonStron for the field of artificial intelligence, the deep learning solution has been unanimously recognized and praised by customers for its stable and powerful hardware performance and flexible and efficient resource management capabilities.


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