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Announcing Our New Lab: A Deep Dive into Renesas RZ/V2L​

Introduction to Renesas RZ/V2L

We’re excited to introduce our latest LiveBench Lab, dedicated to the powerful Renesas RZ/V2L. This versatile platform combines a high-performance CPU with integrated AI acceleration, making it an ideal choice for a wide range of vision AI applications.

Why Choose RZ/V2L?

The RZ/V2L offers a unique blend of performance and efficiency, thanks to its powerful 1.2GHz Cortex®-A55 CPU and DRP-AI accelerator. With support for DDR4/DDR3L memory, a Mali-G31 GPU, and an H.264 video codec, it’s a versatile solution for various applications.

Key Features of RZ/V2L

  • AI Acceleration: DRP-AI delivers exceptional performance for AI tasks.
  • High-Performance CPU: 1.2GHz Cortex®-A55 CPU for robust processing power.
  • Memory Support: DDR4/DDR3L memory for flexible memory options.
  • Graphics and Video: Mali-G31 GPU and H.264 video codec for multimedia capabilities.
  • Low Power Consumption: Ideal for battery-powered or space-constrained applications.

 

RZ/V2L SMARC: Vision AI

Explore LiveBench Lab Capabilities

Our new LiveBench Lab is designed to help you harness the full potential of the RZ/V2L.

  • Test AI Models: Experiment with various machine vision algorithms and ML models to find the best fit for your needs.
  • Monitor Power Efficiency: Track voltage, current, and power variations to optimize system design.
  • Analyze Thermal Performance: Use a thermal camera to assess temperature distribution and ensure optimal cooling.
  • Evaluate Power Cycling: Observe changes in electrical and system parameters during power cycles to ensure reliability.
  • Benchmark Performance: Measure the SoM’s raw processing power using standard Python scripts.


Get Started Today!

The new LiveBench Lab for RZ/V2L is now open for exploration on LiveBench.

Unlock the Power of RZ/V2L

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Prabrit Bandyopadhyay
Prabrit Bandyopadhyay is a seasoned professional with expertise in Electrical and Electronics Engineering, Machine Learning, and Embedded System Design. Holding an M.Tech in Mechatronics from NITTTR, Kolkata, he boasts over a decade of experience in both academia and industry. Currently serving as a Hardware Research and Development Engineer at Tenxer Labs India Pvt. Ltd., Prabrit specializes in Embedded Systems, Machine Learning, Edge AI, and Power Electronics, reflecting his diverse skill set and multidisciplinary proficiency.
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