On July 27, during the 2025 World Artificial Intelligence Conference, Zhaoxin, a domestic X86 processor manufacturer, announced a new generation of server CPU, the KH-50000, which is a significant upgrade over the previous generation KH-40000. At the same time, Zhaoxin also released the KX-7000N CPU for PCs.
According to the leaked information, KH-50000 is based on the Chiplet architecture and adopts a new microkernel design. Its IPC performance is also further improved compared to the previous generation. The top-level SKU has up to 96 cores, a base frequency of 2.2GHz, an acceleration frequency of 3.0GHz, and a maximum L3 cache capacity of 384MB (KH-40000 is 64MB).
In terms of I/O, KH-50000 has also been significantly upgraded: supports 12-channel DDR5 (KH-40000 only supports 8-channel DDR4), supports ECC; supports 128-channel PCIe 5.0/ZPI 5.0/CXL; supports 16-channel PCIe 4.0/SATA/USB.
In terms of expansion interconnection, KH-50000 supports dual- and quad-socket systems, which means that four CPUs can be integrated on a single motherboard to provide up to 384 cores. The new ZPI 5.0 interconnection also further enhances data bandwidth while providing lower latency and power consumption.
Zhaoxin said that in response to the rapidly growing application needs of AI training and inference, Zhaoxin focuses on the new generation of server processors KH-50000, taking advantage of the product's higher computing density, fully upgraded high-speed IO, new autonomous interconnection, and stronger multi-channel expansion capabilities. It provides comprehensive, efficient and reliable support in parallel computing, data processing, heterogeneous hardware expansion, AI algorithm support and other aspects for AI computing infrastructure products of various forms and specifications, including AI workstations, general AI servers, high-density AI servers, etc.
Previous data showed that the KX-7000 series processors "Century Avenue" independent core micro-architecture and advanced Chiplet interconnection architecture have 8-core CPUs with a maximum main frequency of 3.7GHz, integrated 4MB L2 cache, 32MB L3 cache, and computing performance is doubled compared to the previous generation. At the same time, the IO interface has been upgraded to the international mainstream DDR5, PCIe 4.0, and USB4. In addition, the KX-7000 series processors integrate high-performance graphics cards, and the graphics performance is 4 times higher than the previous generation. It supports H.265 hardware encoding and decoding and supports up to dual-channel 4K display.
The new KX-7000N is a heterogeneous integration of high-performance NPU based on KX-7000. It is based on high-performance architecture and has powerful computing power, which can significantly improve the end-side AI processing performance and user experience. At this exhibition, Zhaoxin AIPC product solutions based on KX-7000N processors were also unveiled simultaneously.
Zhaoxin said that the AIPC solution based on the KX-7000N processor can provide users with efficient large-model inference capabilities on the end side, and provide excellent technical performance for AIPC, meeting the needs of scenarios and applications such as personal AI assistants, smart office for government and enterprises, smart education, and content creation. The solution supports mainstream AI frameworks and model deployment, and realizes local offline real-time operation of AI applications such as speech recognition, image generation, and large language models, while significantly reducing system latency and energy consumption. It has the advantages and characteristics of autonomous security, high performance, low cost, and flexible development, and is a key engine for promoting AI localization, privacy protection, and intelligent experience.
In addition, Zhaoxin also revealed that the next-generation Kaixian series AIPC processors will provide more CPU cores and stronger computing performance, upgraded to support PCIe 5.0, heterogeneously integrated high-performance NPU, support flexible expansion of computing power, and provide a variety of options for users' differentiated AI reasoning application needs.