China IT Services and Software: Phancy Group (6682.HK; Not Covered) – Takeaway from Phancy’s vGPU Client Use Case

Research evidence excerpt

China IT Services and Software: Phancy Group (6682.HK; Not Covered) – Takeaway from Phancy’s vGPU Client Use Case

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08 Jul 2026 10:58:01 ET │ 9 pages

China IT Services and Software

Phancy Group (6682.HK; Not Covered) – Takeaway from Phancy’s vGPU

Client Use Case

CITI’S TAKE

We attended Phancy Group’s (6682.HK; Not Covered) client sharing

session on its vGPU product, featuring a real-world enterprise deployment

case study in the domestic financial sector. Key takeaways: (1) HAMi

vGPU, Phancy’s open-source CNCF-certified project, is the sole AI- Kyna WongAC

compute-focused incubation project in the cloud-native ecosystem, (2) +852-2868-7820

The enterprise-grade Rise vGPU expands on HAMi with heterogeneous kyna.wong@citi.com

chip support, memory overcommit, and compliance-grade features suited Yiming Li, CFA

to regulated industries, (3) A typical institutional client’s deployment

demonstrated ~50% GPU resource savings and ~50% improvement in

overall compute utilization. (4) Demand from financial institutions for on-

premise heterogeneous compute management is structurally driven by

domestic data-residency regulations, underpinning durable adoption. We

believe there is on-premises AI deployment demand in China which

requires an IT service or solution companies to leverage the multi-chip,

multi-model resources.

Industry Context and Regulatory Backdrop

Financial institutions in China operate under strict data-residency regulations that

prohibit customer and business data from leaving internal environments. This

structurally precludes the use of external public AI APIs, making fully on-premise AI

deployment the only viable path. As a result, the ability to manage diverse domestic

chip environments efficiently through a unified software platform is not a