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Computing Power Surges by 2 TOPS! WPG's NXP Edge AI Acceleration Solution (Mass Production Solution 77)

Introduction: Welcome to the "Mass Production Plan" of China exportsemi, here we will show you the latest and hottest mass production plans of Chinese local manufacturers. If you are interested in this, feel free to contact us for more information (china.exportsemi@ehaitech.com).

In the AI era, the amount of data is growing explosively, and the demand for computing power and real-time performance is rising. Due to network latency and limited bandwidth, traditional cloud computing has been difficult to meet the requirements of high real-time and accuracy scenarios such as autonomous driving, smart healthcare, and industrial automation. At this time, edge computing has become a key force to break the dilemma. WPG's edge AI acceleration solution based on NXP i.MX 95 series application processors recommended by China Exportsemi came into being, providing a strong impetus for the intelligent upgrade of various industries with its super computing power and excellent performance.

Product Features Highlights:

The solution has a powerful neural processing unit (NPU) with a computing power of up to 2 TOPS, which can greatly improve the speed of AI inference and computing, and is more power-efficient than GPUs. Its multi-core architecture, including six Arm® Cortex-A55® cores, one Arm® Cortex-M7® core, and one Arm® Cortex-M33® core, provides the foundation for high-performance and real-time applications. At the same time, it is equipped with advanced image signal processor (ISP) and 2D/3D graphics processing unit (GPU), which supports encoding and decoding at 60 frames per second at 4K resolution to ensure efficient and smooth image processing. In addition, it provides an independent SOM development board design, which can freely configure I/O interfaces, with a complete range of peripheral configurations, and also covers a wealth of development tools and a variety of deep learning framework application examples, which is convenient for developers to get started quickly.

Figure: WPG WPI's edge AI acceleration solution based on NXP products

Figure: WPG WPI's edge AI acceleration solution based on NXP products

Technical Specifications:

The core specifications of the MPU (NXP i.MX95, MX95LPD5EVK-19CM) include a six-core Arm® Cortex-A55® processor, clocked at up to 1.8GHz.

eIQ® Neutron Neural Processing Unit for superior performance; Dual Image Signal Processor (ISP) with RGB-IR support;

Two MIPI-CSI camera interfaces;

Powerful 3D/2D graphics acceleration (Arm Mali-G310);

Powerful video encoder and decoder supporting up to 4Kp60 frame rate;

High-definition display, MIPI-DSI supports 4Kp30, LVDS supports 1080p;

Built-in 64GB eMMC 5.1, support external memory, data rate up to 6.4GT/s, with 32-bit interface, support LPDDR5/LPDDR4X. I/O specifications include 1 x 10GbE + 2 x Gb Ethernet, supporting multiple synchronization technologies;

1 x USB 3.0 Type C with PHY + 1 x USB 2.0 Type C with PHY; 5 CAN FD interfaces;

8 UART, 8 I²C, 8 SPI, 2 I³C;

1 x 8-channel, 12-bit ADC; 2 x 32-pin FlexIO interfaces;

2 PCIe Gen 3 single-lane interfaces, etc.

Figure: Block diagram of WPG WPI's edge AI acceleration solution based on NXP products

Figure: Block diagram of WPG WPI's edge AI acceleration solution based on NXP products

Application Scenarios:

This solution is suitable for a wide range of areas. In the field of the Internet of Things, intelligent security monitoring can be realized, real-time analysis of video streams, and rapid identification of abnormal behaviors. In Industry 4.0, it is used for product quality inspection to accurately detect product defects through high-speed image processing, and in autonomous driving, it can quickly process sensor data and make accurate decisions to ensure driving safety. In short, WPG WPI's edge AI acceleration solution will provide a strong boost for the intelligent upgrade of various industries and promote the wide application and sustainable development of edge AI technology due to its excellent performance.

Figure: Scenario application diagram of WPG WPI's edge AI acceleration solution based on NXP products

Figure: Scenario application diagram of WPG WPI's edge AI acceleration solution based on NXP products

All in all, WPG WPI's edge AI acceleration solution based on NXP i.MX 95 series application processors has become a powerful weapon for various industries to achieve intelligent transformation with its 2TOPS super computing power, advanced multi-core architecture, and rich functional configuration. It not only solves many bottlenecks of traditional cloud computing, but also brings new development opportunities in the fields of Internet of Things, Industry 4.0, and autonomous driving. With the continuous advancement of technology and the continuous growth of market demand, this solution will play a more important role in the intelligent world of the future, driving various industries towards a more efficient and intelligent stage of development.


Contact us

If you want to know more about WPG's mass production solutions, or want to get customized solutions, please feel free to contact the editorial department (china.exportsemi@ehaitech.com) of China Exportsemi, we will provide you with professional technical support and thoughtful customer service.

About WPG Holdings:

Headquartered in Taipei, WPG Holdings, a top semiconductor distributor in the Asia-Pacific region, has more than 5,000 employees, more than 250 cooperative suppliers, and 73 distribution points around the world. Revenue in 2023 will reach $21.55 billion. With the vision of "Industry Preferred Channel Benchmark" and adhering to the values of "Teamwork, Integrity, Professionalism and Efficiency", the company has won the "Global Distributor Excellence Award" for 24 consecutive years. In the face of the challenges of intelligent manufacturing, WPG transformed into a data-driven enterprise, established a "big network" platform, promoted the LaaS model, committed to digital transformation, and jointly built an industrial ecosystem.

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