Why AI-RAN needs a new data storage paradigm

Patrick Lopez, Global Telecom Field CTO at Pure Storage, says AI-RAN use cases will require storage technology that meets the demanding, near real-time requirements of the network.

As TMN launches its AI-RAN Market Update, Pure Storage’s Patrick Lopez tells us why the right storage technology will be an important part of the AI-RAN network. Pure Storage has recently joined the AI-RAN Alliance, and that’s because it wants to contribute its storage expertise into the architectural framework of the AI-RAN.

Lopez says, “We’ve seen a dramatic increase in the need to store data because of AI. You need to be able to look at the network, and take decisions, in near real time, and that’s only possible if you have a very efficient storage that has been designed for AI.

“The RAN is the newest part of the network when it comes to AI. And that’s where the demand is the highest, and where the performance needed is also the highest.”

Lopez says that as Pure Storage is the only storage company in the Alliance it can provide a unique viewpoint in terms of the type of technology that is necessary to enable AI-RAN to be successful.

“Transitioning from legacy storage to an all flash storage is really important,” he says. “And transitioning from block storage to object storage, which allows basically the use of metadata, is also really important when using AI because you are able to manipulate the data set much better.”

All of those are contribution from Pure Storage into the architectural framework of AI RAN. Beyond that, Pure Storage is looking at a number of partnerships where it is working with companies to deploy and test the advanced AI-RAN use cases on its infrastructure.

Pure Storage is Silver Sponsor of TMN’s AI-RAN Market Update. To read more about the company and Lopez’s insights into AI-RAN, you can access the Update here, which includes an in-depth look at Pure Storage’s contribution to AI-RAN development.