Establish an open AI testing environment by deploying an AI factory at-scale solution from HPE with NVIDIA NemoClaw reference stack in Equinix AI-ready data center
HONG KONG – April 23, 2026 – Equinix, Inc. (Nasdaq: EQIX) announced a strategic collaboration with HPE to establish AI Discovery Hub, an NVIDIA-powered open AI testing environment, to accelerate AI innovation and deployment in Hong Kong, supporting the city’s ambitions to advance AI adoption across industries. The AI Discovery Hub brings together an AI factory at-scale solution from HPE with NVIDIA AI infrastructure, software, and guardrails to Equinix’s interconnection-rich, cloud-dense ecosystems in Hong Kong, helping enterprises build, deploy and scale AI securely across hybrid and multicloud environments, with embedded governance for data-sensitive and regulated workloads.
As companies move from pilots to production, AI deployments often stall due to practical constraints. These include siloed data and infrastructure, limited AI-ready power and cooling, latency and throughput bottlenecks when moving large datasets, fragmented access to clouds and partners, and governance requirements that are difficult to implement consistently across distributed environments. The joint offering of AI Discovery Hub is designed to meet these requirements by providing an AI-ready foundation where datasets, models and ecosystem partners can converge in close proximity to clouds and networks, supported by automation to reduce manual effort and enable proactive optimization.
The joint AI Discovery Hub will offer:
The AI Discovery Hub will become available in the second half of 2026. Companies can leverage the environment to test and validate AI applications before full scale deployment, enabling them to evaluate performance, compatibility, and operational workflows under real-world conditions while maintaining low latency.
Photo 1: Equinix HK6
Spokespeople quotes:
Joanne Hon, Managing Director, Equinix Hong Kong
“Hong Kong is at an inflection point where AI is moving from experimentation into day-to-day operations. That shift shows up immediately in how much data enterprises need to move and the speed at which they need to move it. As enterprises scale AI, they quickly run into practical constraints around latency, throughput, cloud access and governance. This is exactly the gap this collaboration addresses. Combining Equinix’s interconnected, AI-ready infrastructure and ecosystem with an AI factory at-scale from HPE and NVIDIA AI infrastructure and software offers customers a clear path to deploy AI closer to their data and users.”
Ashok Pandey, VP of Operation, Asia Pacific, NVIDIA
“Enterprises in every industry are racing to ready AI agents to help people transform the way they work by unlocking incredible productivity gains. Pairing NVIDIA Agent Toolkit software like the NVIDIA OpenShell runtime on an AI factory at-scale from HPE with Equinix’s interconnect platform in Hong Kong delivers a secure and efficient path for full-stack AI infrastructure to fuel real-world success.”
Vincent Kwok, Managing Director, HPE Hong Kong and Macau
“Today, models, data, and workloads are spread across clouds, networks, and locations—creating a challenge that enterprises can no longer overlook. HPE is focused on helping organizations operationalize AI in the real world by bringing these elements together through a unified operating model without adding complexity. By integrating an AI factory at-scale from HPE with Equinix and NVIDIA, we are enabling customers to operationalize AI seamlessly across the entire lifecycle, through a comprehensive solution that is multi-tenant, highly scalable, flexible, and cost-optimized.”
Additional Resources
About Equinix
Equinix (Nasdaq: EQIX) shortens the path to boundless connectivity anywhere in the world. Its digital infrastructure, data center footprint and interconnected ecosystems empower innovations that enhance our work, life and planet. Equinix connects economies, countries, organizations and communities, delivering seamless digital experiences and cutting-edge AI—quickly, efficiently and everywhere.
Forward Looking Statements
This press release contains forward-looking statements that involve risks and uncertainties. Actual results may differ materially from expectations discussed in such forward-looking statements. Factors that might cause such differences include, but are not limited to, risks to our business and operating results related to the current inflationary environment; foreign currency exchange rate fluctuations; stock price fluctuations; increased costs to procure power and the general volatility in the global energy market; the challenges of building and operating IBX® and xScale® data centers, including those related to sourcing suitable power and land, and any supply chain constraints or increased costs of supplies; the challenges of developing, deploying and delivering Equinix products and solutions; unanticipated costs or difficulties relating to the integration of companies we have acquired or will acquire into Equinix; a failure to receive significant revenues from customers in recently built out or acquired data centers; failure to complete any financing arrangements contemplated from time to time; competition from existing and new competitors; the ability to generate sufficient cash flow or otherwise obtain funds to repay new or outstanding indebtedness; the loss or decline in business from our key customers; risks related to our taxation as a REIT; risks related to regulatory inquiries or litigation; and other risks described from time to time in Equinix filings with the Securities and Exchange Commission. In particular, see recent and upcoming Equinix quarterly and annual reports filed with the Securities and Exchange Commission, copies of which are available upon request from Equinix. Equinix does not assume any obligation to update the forward-looking information contained in this press release.
Equinix Media Contact (Asia-Pacific)
Annie Ho
annho@ap.equinix.com
Equinix Media Contact (Hong Kong)
Jasmine Chan
jasmine.chan@teamlewis.com
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