Today we're going to talk about recovering from major faults, those things that keep you up at night.

DriveNets hosted a panel for analysts and media at MWC23 in order to explain its work and hear from industry leaders on progress for disaggregated networking. Members of the panel included Igal Elbaz, SVP and network CTO at AT&T;  Jean Louis Le Roux, executive vice president for International Networks with Orange; Cayetano Carbajo, VP for core, transport and service platforms with Telefonica.

Today we're going to talk again about AI networking, and we will provide the solutions for the challenges we mentioned last time. With the fast growth of AI workloads, network solutions need to be ready to resolve issues including  having a flexible and online architecture, being able to  scale and maintain performance at scale, and  having a field proven rock-solid solution.

What are the challenges of AI Networking? 

We’re going to talk about AI, and specifically about AI networking. we want to talk about the challenges behind the AI infrastructure, because AI ML training, it’s very compute, intense task. 

What are the main challenges in AI networking that companies like the Hyperscalers that are going into this market now needs to resolve? 

We’re talking about some myths about disaggregated distributed chassis or Network Cloud. The myth about Network Cloud and this architecture in general is just a one off. The myth about the operational headache. And the myth about that it’s a fairly complex architecture.

We're talking about operations because usually when you talk to operations people about disaggregated and cloud-native systems, they do not like it. Since it's multiple vendors, it's multiple building blocks, it's a new thing to learn. And operations people will love to stick to what we have. But surprisingly enough, bringing the Network Cloud into your network actually means better operations, simpler operations.

Watch CloudNets: https://drivenets.com/resources/cloud-nets/special-why-network-cloud-means-better-operations

DriveNets Network Cloud, changes the operational and economic model of the network, allowing it to scale capacity and services much faster while increasing service provider profitability.
Watch CloudNets at https://drivenets.com/resources/cloud-nets/special-why-include-drivenets-in-your-next-network-rfp/

Now that we've established that building a Network Cloud cluster  is easy, let's talk about what happens afterwards because  the operations guys are the ones that having been doing the hard work all those years, after the engineering plans and installation.

How do you build a cluster with Network Cloud? The cluster is granular and built upon multiple boxes, so you can bring them with you, and find vacant places in existing racks to put it into and not have to have a dedicated rack for a new gigantic crowd.

Today we’re going to talk about the cloud, or specifically why cloud does not matter at all. You don’t need to worry or think about the underlying infrastructure, the hardware, the upgrades, the versions, the connectivity, etc, etc. And these are all transparent to you. This all looks like a cloud, something that you know that is there, but you don’t really care what happens in it. So this is why the cloud does not matter.