Whitepaper

Artificial Intelligence: From the Public Cloud to the Device Edge

Thank you for your interest. The {{resourceType}} is now [[ready for download]]

Almost every enterprise recognizes the importance of AI in enabling true business transformation. However, many businesses are hindered by the complexity and cost of deploying the right infrastructure that can unleash AI-fueled insights from data. This report describes how Equinix® and NVIDIA are jointly helping overcome these challenges with AI infrastructure that spans the continuum from edge data centers all the way to the core clouds.

Highlights

  • Why it's so important to think of AI from an end-to-end standpoint
  • The three critical AI questions enterprises must ask themselves
  • The new AI Platform as-a-Service test drive from Equinix and NVIDIA
Increasingly, AI will not just take place in a centralized manner in a private data center or in a public cloud. Instead, due to data compliance regulations, cost and latency reasons, AI processing will happen in a distributed manner at both the core clouds and at various types of edge locations close to the end devices.

Request Download:

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.