Digital infrastructure company Equinix is partnering with Hewlett Packard Enterprise (HPE) to launch the Equinix AI Discovery Hub in Hong Kong.
The facility targets enterprises and financial institutions that need secure infrastructure for regulated AI workloads.
Scheduled to open in the second half of 2026, the testing environment combines HPE hardware with NVIDIA software.
The setup helps businesses move enterprise AI projects from the pilot phase into production while reducing data silos, latency issues and compliance bottlenecks.
For the financial sector, moving sensitive data to public clouds often presents regulatory challenges.
The hub allows banks and insurers to build and test models, including real-time inference systems and autonomous AI agents, within a controlled infrastructure.
It keeps data processing close to their existing networks to reduce latency and support compliance requirements.
The facility will be housed in Equinix’s HK6 data centre. The site uses direct-to-chip liquid cooling technology to handle the thermal demands of high-performance graphics processing units required for AI training.
HPE is supplying its AI factory infrastructure, which includes built-in governance modules.
The system also runs NVIDIA software, including NeMoClaw, Agent Toolkit and OpenShell, with policy-based controls and governance features designed for sensitive and regulated workloads.
“Hong Kong is at an inflection point where AI is moving from experimentation into day-to-day operations,”
said Joanne Hon, Managing Director at Equinix Hong Kong.
She added that as enterprises scale these technologies, they frequently encounter practical constraints around latency, throughput, cloud access, and governance.
Vincent Kwok, Managing Director, HPE Hong Kong and Macau, said:
“HPE is focused on helping organisations operationalise AI in the real world by bringing these elements together through a unified operating model without adding complexity.”
Companies will be able to use the Equinix AI Discovery Hub to validate their AI applications under real-world conditions before committing to full-scale rollouts.
Featured image credit: Edited by Fintech News Hong Kong, based on image by freepik