Equinix offers a turnkey private cloud powered by the ready-to-use NVIDIA DGX SuperPOD.

On the 25th, Equinix announced a fully managed private cloud service that enables enterprises to build and manage NVIDIA DGX AI supercomputing infrastructure on their own. The service supports enterprises in building and running custom generative AI models.

The services announced by Equinix are immediately available and include NVIDIA DGX Systems, NVIDIA Networking, and NVIDIA AI Enterprise software platforms.

Equinix installs and operates NVIDIA infrastructure owned by each customer and can deploy services on behalf of customers in major IBX (International Business Exchange™) data centers around the world.

Based on this service, companies can achieve the AI performance required to scale infrastructure operations and develop and execute large-scale models. Key clients include companies in various fields such as life sciences, financial services, software, automotive, and retail. These companies are establishing AI Centers of Excellence to build a strategic foundation for the diverse and evolving use cases of Large-Scale Language Models (LLM).

Customers can operate AI infrastructure close to their data through Equinix's fully managed NVIDIA AI supercomputing services.

This service enables rapid retrieval of generative AI information over enterprise broadband networks by providing high-speed private network access to global network service providers. Additionally, it offers private and high-bandwidth interconnects to cloud and enterprise service providers to facilitate AI workloads while meeting data security and regulatory requirements.

This service allows customers easy access to NVIDIA AI enterprise software and simplifies the development and deployment of production-grade AI applications, including generative AI.

NVIDIA AI Enterprise includes pre-trained models, optimized frameworks, and accelerated data science software libraries such as the NVIDIA NeMo™ framework for building LLMs, NVIDIA RAPIDS™ for data science, NVIDIA Clara for healthcare, and NVIDIA TensorRT™ LLM for optimizing large-scale language model performance.

Charles Meyers, CEO of Equinix, stated, “To fully leverage the potential of generative AI, companies must build flexible and scalable hybrid infrastructure in local markets.” “This enables the application of one’s own data to AI supercomputing,” he said, adding, “The new service being announced provides a way for customers to quickly and economically adopt advanced AI infrastructure operated and managed by world-class experts.”

NVIDIA CEO Jensen Huang said, “Generative AI is transforming every industry,” adding, “Companies around the world can utilize Equinix’s operational efficiency as well as deploy and operate NVIDIA AI supercomputing and software in data centers located in hundreds of locations worldwide.”