company blog about Mingjiada Electronics Supply AI Processor Chips, AI Vision Chips, AIoT Processors

Mingjiada Electronics Supply AI Processor Chips, AI Vision Chips, AIoT Processors

Shenzhen Mingjiada Electronics Co., Ltd. — has established a comprehensive portfolio of AI processor chips spanning data centres, edge computing and embedded devices, encompassing general-purpose computing processors, AI acceleration chips and vision processing units, catering to the full workflow from model training to on-device inference.

1. Ambarella: Leader in Edge AI Vision
Ambarella specialises in the design of edge AI vision chips, with its CVflow architecture maintaining industry-leading AI performance per watt. Mingjiada Electronics supplies Ambarella’s latest-generation and classic vision chips.
Flagship Model: CV7 Edge AI Vision SoC
Advanced Process: Utilising Samsung’s 4nm process, power consumption is reduced by over 20% compared to the previous-generation CV5 under equivalent loads.
Superior Video Processing: Supports parallel processing and encoding of multiple 8Kp60 video streams, with total encoding performance doubling that of the previous generation. Capable of simultaneously processing a single 4Kp240 or dual 8Kp30 video streams.
Core Configuration: Integrated quad-core Arm Cortex-A73 CPU with a 64-bit LPDDR5 memory interface; CPU performance is doubled compared to the previous generation.
Application Scenarios: 8K action cameras, multi-sensor industrial security, drones, automation systems, and AI vision gateways for fleet management

2. Intel AI Processors
Xeon Scalable Series (Platinum/Gold): Features the built-in AMX AI acceleration instruction set, optimised for AI inference and training performance in data centres, suitable for cloud computing and big data processing scenarios;
Movidius Myriad X VPU: A dedicated visual processing unit integrating a high-performance AI inference engine, designed for embedded vision devices to enable low-power image recognition and analysis.

3. AMD AI Processors and Accelerators
Ryzen AI Series (Ryzen AI Max+ 395, Ryzen AI 7 350): Combines CPU and NPU architectures, designed for local AI computing in laptops and embedded smart devices, enabling low-latency speech recognition and image optimisation;
Instinct MI300X: A top-tier AI accelerator card for data centres, supporting large-scale model training and high-performance inference, suitable for cloud computing service providers and AI research institutions.

4. Rockchip RK3588
A flagship AIoT processor manufactured using an 8nm process, featuring an octa-core CPU architecture paired with a 6TOPS NPU. It supports 8K video decoding and multi-screen display, and is suitable for mid-to-high-end scenarios such as edge computing, smart cockpits and industrial HMIs, offering a balance of performance and cost-effectiveness.

5. NVIDIA Full Range of AI Processors
Data centre-class: Tesla A100 and H100, equipped with Tensor Cores to support computationally intensive tasks such as large language model training and high-performance scientific computing;
Edge device-class: Jetson series (AGX Orin, Jetson Nano, Xavier NX), offering flexible computing power options ranging from 5 TOPS to 275 TOPS, suitable for edge scenarios such as robotics, drones and smart medical devices.

Mingjiada Electronics has long provided AI processor chip supply services, ranging from the 8K ultra-high-definition visual perception enabled by Ambarella’s CV7, to the collaboration of physical AI agents driven by NXP’s i.MX 93W, and the new era of edge-side large-model computing ushered in by AMD Ryzen AI. For the latest AI processor chip quotations, selection guides or technical advice, please visit the Mingjiada Electronics website or contact their sales team directly.
Company URL: https://www.integrated-ic.com/