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iEi GRAND-C422-20D - a unit for the machine process of artificial intelligence

2020-06-18

Artificial intelligence has a significant impact on our lives. Recently, we have been paying more attention to the hardware and principles of AI operation. Recently, we presented MUSTANG accelerators>>. Today we present an example of a training server for AI: GRAND-C422-20D.

 

Hyper converged infrastructure

Hyper converged infrastructure (HCI) is scale-out software-defined infrastructure that converges core data services on flash-accelerated, industry-standard servers, delivering flexible and powerful building blocks under unified management.

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AI Training System

The AI training system GRAND-C442 is dedicated for these tasks because it offers a wide range of slots for storage expansion, acceleration cards and video capture. In order to develop a useful training model, existing and widely used deep learning training frameworks such as Caffe, Tensor-Flow or Apache MXNet are recommended. These facilitate the definition of the apt architecture and algorithms for a distinct AI application.

 

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Edge computing server in training

The GRAND-C422-20D is perfectly suited for edge computing server in data training or inference. With edge computing, you can pre-process data generated within your organization or across your devices on-premise, to filter out irrelevant information and only keep valuable insights, and then further utilize them by sending or uploading to cloud platforms. 

 

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Expandable to suit your needs

AI computing requires huge computing power, so our system can support up to 4 dual-width expansion slots (PCIe x8) and 2 singlewidth expansion slots (PCIe x4) for maximum expansion ability to meet computing needs.

 

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Storage 

The GRAND-C422-20D support M.2 nVMe SSD, U.2 SSD and SATA HDD/SSD. It has a built-in M.2 nVMe port and 20 bays of HDD/SSD slots including two U.2 SDD slots. The GRAND-C422-20D supports M.2 solid-state disk which is the next-generation small-sized form factor introduced by Intel after mSATA. It has better performance than general SATA SSD but it is lighter and more power-saving.

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Representatives of companies interested in GRAND-C422, please contact us at the following e-mail address: iit[at]jm.pl

We also invite you to contact us if you are professionally interested in JM elektronik learning about AI.

 

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