RENESAS RZ/V SERIES Highly Power-Efficient Embedded AI MPUs for Vision AI

PublishTime：2023-10-09

●The Renesas RZ/V series of microprocessors (MPUs) for vision AI incorporate Renesas’ exclusive DRP-AI AI accelerator delivering excellent AI inference performance and low power consumption. ●The RZ/V series consists of three products. The RZ/V2L with 3D graphics engine and highly versatile peripheral functions is suitable for a wide range of applications. The RZ/V2M features a high-performance image signal processor (ISP) with 4K/30fps support. To enable existing systems to easily implement AI function, the RZ/V2MA is embedded with high-speed interfaces such as PCIe and USB3.1. Also, the embedded OpenCV accelerator can increase the speed of existing image processing algorithm in addition to AI. ●Features ■The DRP-AI, AI inference hardware, utilizes dynamically reconfigurable technology exclusive to Renesas to deliver design flexibility, fast AI processing, and very high power efficiency. ■Combination of hardware (DRP-AI) and software (DRP-AI translator) results in high power efficiency. ■DRP-AI translator provides the capability to expand to more complex AI models without requiring hardware change. ■Deliver excellent inference performance and power efficiency, irrespective of complexity and size of the AI model (right figure).

Brand of Product：	Renesas
Part#：	RZ/V SERIES、RZ/V、RZ/V2L、RZ/V2M、RZ/V2MA、R9A07G054L24GBG、R9A07G054L23GBG、R9A09G011GBG、R9A09G055MA3GBG More Part#
Product Category：	Highly Power-Efficient Embedded AI MPUs、microprocessors、MPUs、Evaluation Kit、EVK、Reference Board More
Application：	[ Vision AI ][ Security cameras ][ POS systems ][ Intercom systems ][ Smart cameras ][ Robot vacuum cleaners ][ Smart appliances ][ AI gateway ][ Entrance/Exit management system ][ Infrastructure monitoring ][ Retail ][ Logistic ] More
Data Type：	Supplier and Product Introduction More
Safety & Environment Standards：	More
Operating Temperature：	Please see the document for details
Qualification Grade：	More
Qualification Approval：	More
Package：	FCBGA;LFBGA
Language：	English Chinese Chinese and English Japanese
Date of Creation：	2023.03
Version Number：
Data Encoding：	R01PF0220EJ0200
Data Size：	917 KB

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