Monday, May 20, 2024

Enhanced Storage For AI PCs

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The storage solution features RISC-V architecture and 4-channel PCIe 5.0 and supports up to 8TB capacity, transforming gaming and data security for high-performance AI PCs.

AI

AI is rapidly becoming a central focus in the storage industry, notably in its application within servers and the emerging AI PC market aimed at consumers. Enterprises and individuals increasingly employ AI programs to process data locally on AI PCs without uploading it. This shift demands more from storage devices, which must now support larger capacities and deliver high performance and low latency on par with enterprise-level applications.

The YRS820 launched byYingren leverages the RISC-V open-source architecture, integrating a 4-channel PCIe 5.0 interface and equipped with 8 NAND flash memory channels. It supports the NVMe 2.0 protocol, features a transmission rate of 2667MT/s, and is compatible with 3D TLC/QLC, supporting up to 8TB of capacity.

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Performance-wise, the YRS820 excels with 14GB/s sequential read and 12GB/s sequential write speeds, with random read and write speeds achieving up to 2000K IOPs and 1500K IOPs, respectively.

Targeted at high-end consumer markets, including AI PCs, the YRS820 enhances gaming performance through AI-driven data acceleration technology, significantly reducing latency. It is compatible with high-performance graphics cards and uses DirectStorage technology to boost gaming performance further. The device also speeds up data processing for specific applications and maintains high levels of stability, consistency, and security, bolstering the growth of the AI PC sector.

Additionally, the YRS820 incorporates advanced data encryption and decryption capabilities, a crucial feature as AI’s rapid development underscores the increasing importance of information security. It is for gamers, professionals in data-intensive applications like content creation and analytics, and users of AI and machine learning applications that require data processing. It supports data encryption and decryption for security-conscious users and businesses handling data. PC OEMs can integrate the YRS820 into their systems for AI-capable devices.

For more information, click here.

Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a journalist at EFY. She is an Electronics and Communication Engineer with over five years of academic experience. Her expertise lies in working with development boards and IoT cloud. She enjoys writing as it enables her to share her knowledge and insights related to electronics, with like-minded techies.

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