AI Training Server System

Feb 20, 2019

IEI monthly news
AI Training Server

AI Training Server

The GRAND-C422-20D is an AI training system which has maximum expansion ability to add in AI computing accelerator cards for AI model training or inference.

- Brochure- Specifications - Send Inquiry - Video [English] [Chinese]

Key Features

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. Efficient, agile, flexible, and integrated, these systems allow for easy scale-out storage, cost-savings, and simplicity to manage your systems. It is the best solution for your data center.

AI training server for Hyper Converged Infrastructure

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. You can save a great deal of cloud platform and bandwidth fees as your data to be analyzed is filtered and only relevant data will be further dealt with.

The advantages of edge computing:

  • Reduce data center loading, transmit less data, reduce network traffic bottlenecks.
  • Real-time applications, the data is analyzed locally, no need long distant data center.
  • Lower costs, no need to implement sever grade machine to achieve non-complex applications.

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, Thunderbolt ™ or PoE add-on cards for unlimited data ac-quisition possibilities. 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.

AI training system

High-Speed Storage Transmission

The U.2 SSD interface features high-speed, low-latency and low-power NVMe standard protocol, and PCIe 3.0 x4 channel. The theoretical transmission speed is up to 32Gbps, while SATA is only 6Gbps, which is 5 times faster than SATA.

AI training server SSD performance

Water Cooling System

IEI designs a higher-efficiency, compact water cooling system for the latest 14nm Intel® Xeon® Processor W family to cool the CPU and keep the high performance. The water cooling system can support up to 250W TDP.

server with water cooling system

Hot Products

TANK-620-ULT3 | Fanless embedded system

  • Intel® Celeron® 3855U (1.6GHz, TDP=15W)
  • Multiple COM ports (up to 14) with TX/RX signal LED indicator for data transmission indication
  • Multiple USB & LAN
  • 24-bit DIO control M.2 M-key slot and dual full-size PCIe Mini slot for expansion
  • Easy accessible storage

- Specifications - Product News

- IEI TANK-620-ULT3|An Embedded System with Multiple COM Ports [English] [Chinese]

Tank-620-ult3 embedded system

ITG-100-AL | Compact Size Embedded System

  • Full-size PCIe Mini slot and M.2 A-key slot for expansion
  • Intel®Atom™ x5-E3930 1.3GHz (up to 1.8 GHz)
  • Two GbE LAN ports & Two RS-232/422/485

- Specifications - Product News

- ITG-100-AL Fanless Ultra Compact Size Embedded System Product Introduction [English] [Chinese]

ITG-100 embedded system


Company News

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[Grand Series Storage Server] [GRAND-C422-20D AI training server system]

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