Equinix Unveils the Distributed AI Hub to Simplify and Secure Enterprise AI Infrastructure
11 Articles
11 Articles
Equinix Unveils the Distributed AI Hub to Simplify and Secure Enterprise AI Infrastructure
/PRNewswire/ -- Equinix, Inc. (Nasdaq: EQIX), the world's digital infrastructure company®, today unveiled the Distributed AI Hub, powered by Equinix Fabric...
Equinix today launched its Distributed AI Hub, which is supported by Equinix Fabric Intelligence and aims to provide a unified framework for connecting increasingly complex and distributed AI ecosystems and to secure and simplify them. The Hub is a neutral location where companies use AI infrastructure providers such as model companies, GPU clouds, data platforms, network and security services, as well as AI frameworks via private, latencies [..…
Data center operator Equinix has introduced a distributed AI hub, which is designed to enable companies to easily connect and manage AI infrastructures spread across different locations. Integration with Palo Alto Networks is also designed to secure real-time AI interactions.
Equinix launches the Distributed AI Hub, a neutral infrastructure framework designed to connect, secure and simplify the distributed systems of companies. Available in the 280 high-performance data centres of Equinix worldwide, the Hub is based on Equinix Fabric Intelligence and integrates in the first instance the Prisma AIRS security solution of Palo [...] The post Equinix Distributed AI Hub unifies cloud, models and data in a hub of infrastru…
Equinix builds Distributed AI hub across 280 data centers
Equinix Inc., a digital infrastructure company, has built a Distributed AI Hub designed to simplify how enterprises connect, secure, and run artificial intelligence (AI) workloads across multiple clouds, data centers, and edge locations. Powered by Equinix Fabric Intelligence, the platform acts as a neutral hub where organizations can access AI infrastructure providers such as model […] The post Equinix builds Distributed AI hub across 280 data …
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