TECHNOLOGY

What Infrastructure Is Needed To Deploy AI Solutions In Companies?

AI brings tangible value to companies, increasing their productivity, offering new strategic perspectives, and improving the customer experience.

From healthcare to robotics, from financial services to autonomous vehicles (AV), companies operating in highly competitive markets are reaping the results of their investment in artificial intelligence (AI). AI brings tangible value to companies, increasing their productivity, offering new strategic perspectives, and improving the customer experience. These pioneers in AI adoption have also gained a competitive advantage. Conversely, companies that have not yet incorporated artificial intelligence into their strategy are lagging, unable to keep up with the pace of innovation that this technology allows. Therefore, it is time to invest in an AI strategy.

When implementing an AI strategy, it’s easier said than done. The infrastructure and technology required to support AI projects are complex, including the need for a large amount of processing power and the ability to transfer large amounts of data. Businesses not only need to access the large volume of data generated from IoT / 5G devices, they also need an infrastructure capable of deriving value from that data through computing and information processing. Today’s business infrastructures are often not prepared to handle this demand. 45%  of companies say that their current infrastructure is not capable of supporting AI workloads.

Therefore, companies hoping to implement an AI strategy must take a closer look at technical requirements and ensure that their infrastructure is evolving to meet the demands of technology. Designing an infrastructure capable of supporting AI is a challenge, and getting it right from the start is important since reorganizing or relocating it involves significant costs in terms of time, money, and resources.

It all starts with a  powerful, connected, high-performance environment, hosted in a colocation data center.

In AI document, “Business AI Infrastructure: How to Design a Robust AI Infrastructure,” we break down everything companies need to know about deploying AI infrastructure:

  • Requirements for an ideal infrastructure to leverage data and enable AI.
  • Options for deploying AI workloads at scale.
  • Importance of partnering with experienced providers in building artificial intelligence infrastructure.
  • The role of colocation data centers in solving the main challenges of ICT infrastructure.
  • How NVIDIA and Interxion work together to provide everything companies need to develop and scale their AI programs.

To learn more about the type of infrastructure companies need to accelerate their AI projects, download the document.

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