Renesas offers a line of MCUs and MPUs specifically tuned for AI integration. How can these devices be used to improve your A.I. driven applications?
The MCU mainly runs machine learning algorithms, while the MPU focuses on deep learning visual algorithms. At the hardware level, the two communicate through a high-speed internal bus to ensure rapid flow of data. At the software level, the driver and interface programs are optimized, making the invocation of DRP - AI computing power as convenient as calling local functions, and seamless integration is achieved to accelerate AI inference.
Related products:
Renesas RZ/V series is a microprocessor (MPU) that integrates Renesas’ proprietary artificial intelligence accelerator.
• RZ/V series
• RZ/V2L series
• RZ/V2MA series
More Technical Q&A about Renesas RA/V Series:
- What are the specific technical details of the DRP - AI high - performance AI acceleration unit?
- How does DRP - AI work in collaboration with Renesas’ MCU/MPU to achieve AI inference acceleration?
- What are the product advantages of Renesas’ RZ/V series vision AI MPU?
- What software and hardware products can Renesas provide for AI applications?
- What is the minimum power consumption that Renesas MPU can reach?
- What is the latency of Renesas AI acceleration hardware?
- Does Renesas Electronics have MCUs with vision processing?
- Does the AI MPU have the high - speed Ethernet development function?
- Does Renesas AI acceleration hardware support quantization technology?
- Is Renesas AI computing power fully deployed based on local hardware?
- Can Renesas Electronics edge - side AI operate independently of the cloud for a long time?
- What are the development tools for Renesas Electronics full series of MCUs/MPUs?
- What are the case examples of Renesas AI applications and where can they be demonstrated?
Renesas Reality AI Tool®
• Renesas Reality AI Tool®, Technical Q&A