Company
Hong Kong Zhongke Hangxing Technology Co., Limited: building AI compute infrastructure on a heritage of precision electronics manufacturing.
Company overview
Hong Kong Zhongke Hangxing Technology Co., Limited (香港中科航星科技有限公司) is the ZK-DPU group’s outward-facing entity for international business and partnerships. Research, development and manufacturing are carried out together with its affiliate, Shenzhen Zhongke Hangxing Technology Co., Ltd. (深圳市中科航星科技有限公司), whose founding team has worked in electronics manufacturing since 1996 — nearly three decades — building full-chain capability across semiconductor R&D, intelligent-terminal production and systems solutions.
Guided by “innovation-driven, quality-first,” the group focuses on AI compute infrastructure. With disaggregated storage as its core architecture, it delivers high-bandwidth, low-latency, self-controlled all-flash accelerated storage for AI training and inference — solving the era’s pain point of GPUs that wait on data.
Its flagship line, ZK-DPU, centers on the WS5000 (WS-HBMM5000), developed over ~10 years with ~RMB 1000M of cumulative investment. It is now in mass production and has passed independent third-party validation.S42
Hong Kong company registration is in progress; registered office details will be published upon completion.
Maturity at a glance
Technology, product and manufacturing risks have materially retired.
Milestones
Five steps, each verifiable.
Chief Executive
Your primary channel for business and partnership inquiries.
Lisa CHEN (陈垣熹)
CEO, ZK-DPU ｜ Hong Kong Zhongke Hangxing Technology Co., Limited
Ms. Lisa CHEN serves as CEO of the ZK-DPU group, leading commercialization, ecosystem partnerships and outward-facing business engagement for Hong Kong Zhongke Hangxing Technology Co., Limited, taking the product from validation to scaled delivery.
For PoC units, joint validation, volume delivery or AI-center co-build, please use the phone and email on her business card below.
Chief Scientist
The chief architect of our technology roadmap — and the originator of the disaggregated-storage approach.
Wang Qiyuan (王启源)
Chief Scientist, ZK-DPU ｜ Associate Professor & Master’s Supervisor, BISTU ｜ Director, Computing Center
PhD in Engineering (Pattern Recognition & Intelligent Systems) from the Institute of AI & Robotics, Beijing University of Technology, with long-standing research and teaching in AI, computer systems and intelligent robotics.
Associate Professor and Master’s supervisor at Beijing Information Science and Technology University (BISTU), where he directs the Computer Experimental Teaching Center (Computing Center). He leads the architecture design and R&D of “hardware-accelerated, disaggregated-storage AI compute centers” — the very technology line behind ZK-DPU’s WS5000 — alongside large-model projects for ultrasonic pipeline inspection and legal AI, and a Ministry of Education industry-academia program.
Previously product director at CASIC’s Shenzhen Aerospace Industrial Technology Institute, CTO at a UAV company, and a control-systems engineer at CEPRI (State Grid) — combining frontier research with hands-on engineering delivery.
Leadership
An engineering-first, fact-driven team.
Lisa CHEN (陈垣熹)
CEO
Leads commercialization, ecosystem partnerships and business engagement, taking ZK-DPU from validation to scaled delivery.
Head of R&D
Storage / network / AI
Drives the disaggregated architecture, NVMe-oF/RDMA and all-flash EBOF engineering.
Product & Solutions
Product
Translates customer scenarios into repeatable industry solutions and unit economics.
Delivery & Ecosystem
Delivery
Ensures the 48–72h deployment experience; coordinates foundry and ecosystem adaptation.
Joint R&D & independent validation
Disaggregated-storage co-development and third-party testing, on a national-level practice platform.
Computer Experimental Teaching Center (Computing Center), Beijing Information Science and Technology University (School of Computer Science / Computing Center, established 1978) is a National Engineering Practice Education Center, a national innovation-and-entrepreneurship practice base and a Beijing municipal teaching demonstration center, operating a self-built GPU AI compute-cluster lab and a domestic-stack (Xinchuang) computer lab. ZK-DPU’s Chief Scientist, Wang Qiyuan, also directs the Center — the direct bridge between the two teams.
The two parties jointly develop the hardware-accelerated, disaggregated AI-compute-center architecture, and the Center performs the independent third-party validation of WS5000 (on Huawei Ascend Atlas 910B).S42
Co-development · independent validation · talent ecosystem
Joint R&D — collaborative work on hardware-accelerated, disaggregated compute-center architecture; Independent validation — third-party testing on Huawei Ascend Atlas 910B, leading the NFS baseline across 7 key metrics (median reduction ~90.9%); Talent & ecosystem — the Center co-builds AI compute platforms and practice bases with Tencent, ByteDance and Huawei.
Ecosystem & manufacturing
Certainty grounded in verifiable partnerships.
Alliances and industrial ecosystem
Manufacturing — a pre-production agreement with Luxshare Precision enables ~1,000 units within a month of order; Validation — Beijing Information Science and Technology University completed third-party testing on Huawei Ascend Atlas 910B; Adaptation — AMD and xFusion testing in progress (subject to final reports); Self-control — deep tuning for Huawei Ascend and domestic accelerators.
Download the company profile
The full English company profile, presentation deck and the WS7000 technical whitepaper — sourced from independent third-party testing and our business plan.
WS7000 Technical Whitepaper
A4 PDF · storage acceleration · benchmark vs Alibaba CIPU
Benchmark it on your own workload
2 live demo units are ready for immediate PoC. Let the data do the talking.