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Managed Cloud Service Delivers NVIDIA DGX AI Supercomputing

Jan. 30, 2024
Customers can create customized cloud solutions for AI models, protect their data, and manage costs.

What you'll learn:

  • Insight into the Equinix Managed Cloud Service.
  • Overview of NVIDIA technologies involved with the cloud service.
  • Early adopters and applications.


Equinix unveiled a fully managed private cloud service that enables enterprises to acquire their own NVIDIA DGX AI supercomputers. With this new service, those enterprises can build and operate customized generative AI models and host them in Equinix data centers.

The turnkey offering mitigates several enterprise obstacles to adopting AI, including data leakage, cost, and back-end upgrades. What's more, Equinix will install and operate each customer's privately owned NVIDIA infrastructure as well as deploy services on their behalf in data centers throughout the world.

"To harness the incredible potential of generative AI, enterprises need adaptable, scalable hybrid infrastructure in their local markets to bring AI supercomputing to their data," said Equinix CEO Charles Meyers. "Our new service provides customers a fast and cost-effective way to adopt advanced AI infrastructure that's operated and managed by experts globally."

The service integrates NVIDIA's DGX systems and the company’s networking, which enterprises can use to scale their infrastructure operations to the levels needed to develop and run models of nearly any size. The supercomputer AI service promises to deliver high-speed private network access to global service providers, allowing for quick generative AI information utilization across corporate-wide area networks.

"Generative AI is transforming every industry," said Jensen Huang, CEO and founder of NVIDIA. "Now, enterprises can own NVIDIA AI supercomputing and software, paired with the operational efficiency of Equinix management, in hundreds of data centers worldwide."

Customers will also have access to NVIDIA's AI Enterprise software package, which includes pre-trained models, optimized frameworks, and accelerated data science software libraries. These include NVIDIA's NeMo framework for building LLMs, NVIDIA Rapids for data science, NVIDIA Clara for healthcare and NVIDIA TensorRT-LLM for optimization of large language models (LLMs).

Equinix rolled out the service to early adopters in biopharma, financial services, software, automotive, and retail, which are building AI centers to facilitate AI workloads and a broad range of LLM use cases. These include new medications, developing AI copilots for customer service agents, and building virtual productivity assistants. The company also provides enterprise-level support and security that offers its IBX data-center professionals and NVIDIA AI experts to help customers build and secure their AI models.

The fully managed private cloud service is available now. More information can be found on the Equinix website linked above.


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