Supply AI Processor Chips, Mingjiada Electronics Supply CPU Processors, GPU Accelerators
In an era where artificial intelligence technology permeates every industry, AI processor chips serve as the computational core, forming the critical foundation for driving intelligent applications to fruition. Shenzhen Mingjiada Electronics Co., Ltd. — leveraging years of expertise in electronic component supply — has established a comprehensive, multi-brand AI processor chip supply system covering all scenarios. This encompasses mainstream categories including CPUs, GPUs, NPUs, and FPGAs. Through robust supply channels and stringent quality control, we deliver one-stop chip solutions for clients across data centres, consumer electronics, and edge computing sectors.
I. General-Purpose Computing Core: CPU Processors
As the ‘all-round manager’ of AI systems, the CPU shoulders core responsibilities including task coordination, complex logical decision-making, and serial computation, serving as the fundamental computational unit for diverse AI devices. Mingjiada Electronics focuses on balancing high performance with energy efficiency, supplying a full range of AI-enhanced CPUs from multiple brands across scenarios including servers, desktops, and embedded systems.
Core products supplied by Mingjiada Electronics include:
1. Intel Xeon series featuring AI Acceleration Microinstructions (AMX), efficiently supporting auxiliary scheduling tasks for server-side AI inference and model training while balancing general-purpose computing with AI processing capabilities.
2. AMD EPYC series, Ryzen series, and Intel Xeon series. The AMD EPYC 9005 series employs the latest Zen 5 architecture, specifically engineered for AI, cloud computing, and high-performance computing (HPC) scenarios. Its formidable multi-core performance and memory bandwidth make it the preferred choice for AI task scheduling in data centres. The EPYC 4004 series, leveraging its 16-core Zen 4 architecture, caters to embedded and industrial-grade AI applications.
Additionally, AMD's Ryzen 7000/8000 desktop series and Threadripper workstation series respectively meet the computational demands of consumer-grade AI office tasks and professional content creation, providing reliable support for AI prototype development and light inference.
II. Mainstream Parallel Computing: GPU Accelerators
Leveraging their ‘many-core architecture’ advantage, GPUs excel at massive parallel computing and matrix operations. They serve as the core computational power source for current large model training and deep learning inference, earning recognition as the ‘super factories’ of AI training. Mingjiada Electronics maintains a comprehensive GPU supply portfolio covering both AMD and NVIDIA core brands, addressing requirements across data centres, workstations, and edge computing scenarios.
1. In the data centre domain, we supply AMD Instinct MI300 series AI training/inference accelerator cards. This series, featuring ultra-high compute density and open-source ROCm ecosystem support, has been adopted by giants like Microsoft and Meta. It efficiently handles training tasks for models with hundreds of billions of parameters and large-scale inference workloads. The NVIDIA A100, as a classic flagship model, leverages its exceptional mixed-precision computing capabilities to serve as a core computational node in AI laboratories and cloud computing platforms.
2. For workstation applications, the AMD Radeon Pro W7900 graphics card combines 3D rendering with AI content generation capabilities, catering to AI-assisted creative workflows in professional design. Concurrently, NVIDIA's Jetson series (including Jetson Xavier NX and Jetson AGX Orin) delivers edge-based GPU solutions, meeting the low-power parallel computing demands of IoT devices and autonomous driving perception modules.
Moving forward, Mingjiada Electronics will continue to align with AI chip technology advancements, expanding its portfolio of high-performance, low-power products. Through enhanced supply systems and superior service, we will deliver core computational power to support AI transformation across industries.
For further details on AI processor chips or to request samples, please visit Mingjiada Electronics' official website (https://www.integrated-ic.com/) for comprehensive supply information.
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