This page was machine-translated and may differ from the original. View original
Equinix Platform Boosts Security While Leveraging Public Models
NVIDIA and AI Launchpad Collaborate to Simplify AI Development
Equinix strengthens its competitive edge as an ideal platform for private AI deployments for enterprises and service providers.
Equinix, a global digital infrastructure company, has been working with customers for several years to deploy diverse AI solutions based on private AI infrastructure. Enterprises and service providers recognize that Platform Equinix® offers cloud proximity, global reach, a robust ecosystem, and low-latency interconnection to global networks as key elements of private AI infrastructure.
As enterprises increasingly leverage public AI models, they require a private environment that can manage sensitive information. Equinix explains that deploying private AI infrastructure allows enterprises to leverage public models while preventing their most critical business data from entering the public domain. This allows enterprises to realize the full potential of AI by providing the benefits of trained AI models while protecting against risks.
Enterprises can directly leverage the Equinix platform to deploy private AI infrastructure, while service providers can leverage it to offer private AI services to their customers. Equinix offers advantages due to its proximity to major cloud on-ramps, allowing for a high concentration of buyers and sellers. Equinix's onramp market share for major cloud service providers, a key pillar of the AI ecosystem, stands at approximately 40%.
Meanwhile, Equinix has been collaborating with NVIDIA since 2021 on the NVIDIA AI LaunchPad, enabling enterprises to streamline the entire AI lifecycle with immediate access to NVIDIA-based infrastructure and software.
This program provides enterprises with immediate access to NVIDIA-based infrastructure and software on the Equinix platform. Equinix infrastructure provides enterprises with access to a wide range of NVIDIA resources that support virtually every aspect of AI, from data center training and inference to edge deployment.
“As more enterprises look to leverage AI to gain a competitive edge, they often need a non-public environment where they can maintain complete control over their sensitive, proprietary data,” said Dave McCarthy, research vice president for IDC’s Cloud and Edge Infrastructure Services. “This demand has driven the widespread adoption of private clouds for several years and is now driving demand for private AI. “With its extensive global reach, network density, and cloud proximity, Equinix is well-positioned to support enterprises with the digital infrastructure needed to meet the growing demand for private AI,” he said.
“Private AI eliminates the need for enterprises to choose between the benefits of AI and data privacy, and performance and predictable costs,” said Jon Lin, senior vice president and general manager of Equinix Data Center Services. “Enterprises are choosing Equinix as ‘where private AI happens’ because it allows them to place compute resources close to their data while seamlessly leveraging the capabilities of the public cloud.”
본 기사에 대한 정정·반론·추후보도 청구는 보도 청구 안내를, 그간 게재된 보도문은 정정·반론보도 모아보기를 참고해 주세요.














