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On September 19, the 23rd China International Industrial Expo officially opened. The theme of this year's CIIF is "Carbon Recycling Industry, Data-aggregation New Economy". It is large-scale, high-level and rich in exhibits. There are more than 2,800 domestic and foreign exhibitors participating in the exhibition. Among them, ADATA Industrial Control, as a leading brand of industrial embedded storage, focused on the needs of artificial intelligence applications, focusing on high-performance storage solutions, and demonstrated network security artificial intelligence edge computing equipment, artificial intelligence vision controllers and artificial intelligence big data analysis Customer prototype success stories of devices. By demonstrating solutions that effectively solve the problems and pain points in artificial intelligence scenarios, it provides support for a new generation of high-performance storage technology in the artificial intelligence era
The C area of the ADATA booth fully displays various mainstream specifications of storage devices, including 2.5-inch, M.2 2280/2242, mSATA solid-state drives, CFast/microSD memory cards, as well as eMMC and UFS embedded solutions . ADATA DDR5-5600 R-DIMM memory modules were also on display at the booth, expanding the scope of workstation applications. This memory module has a speed of 5600MT/s, uses SK Hynix A-die particles, has a maximum capacity of 32GB, can operate stably at a low voltage of 1.1V, and has industrial-grade wide temperature resistance (-40℃ to 85℃ ), and has On-die ECC and Side-band ECC error correction mechanisms, which can achieve complete end-to-end protection and improve the accuracy of data transmission. It can meet the needs of AI servers for high-speed reading and writing, large capacity and low latency, and can handle the massive data brought by 5G and AI, and perform efficient real-time data calculations. In addition, it also improves data security through the integration of software and hardware such as A Security, AES and other data protection technologies as well as A OPAL encryption software
On the other side of the C-bit area is ADATA IM2P32A8, an M.2 2280 industrial-grade solid-state drive that uses WDC and KIOXIA 112-layer 3D TLC flash memory particles. It supports PCIe Gen 3x4 and NVMe 1.4, and the read and write speed can reach up to 3300/ 2900MB/s, and 3K P/E cycle level. In order to meet the needs of different applications, there are a variety of capacity options, ranging from 128GB to 2TB
In the customer prototype success case display, ADATA demonstrated scenario solutions for AI automation, AI medical care, and AI edge computing. In terms of AI automation, ADATA Industrial Control provides Hikvision Robots with two industrial storage products, mSATA SSD-IMS316 and DDR4 3200 SO-DIMM, to solve the pain points of robot AI vision controllers in harsh environments and provide high durability. , large capacity and efficient transmission speed (3200MT/s). In the field of AI medical care, ADATA Industrial Control provides IP Biotech with highly durable, low-latency data transmission and A Security encrypted data capabilities, helping IP Biotech to better utilize artificial intelligence and big data tools. At the same time, ADATA Industrial Control also provided network security AI edge computing equipment for Yang Technology, providing industry storage product solutions with faster speed, large capacity and power-down protection function
The industrial storage solutions brought by ADATA Industrial Control effectively solve the problems and problems in artificial intelligence scenarios. Regardless of the scenario, its products have a wide range of applications. The rapid development of artificial intelligence has closely connected sensing, storage and computing. These emerging application scenarios are undoubtedly more dependent on the development of embedded storage technology. ADATA Industrial Control's industrial embedded storage products can not only demonstrate their strength in harsh environments, but are also important tools for enterprise digital transformation
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