Cloud Nets

Failure recovery is a very big issue when it comes to AI clusters because there are always failures and when the failure come, it’s a big thing because you need to stop the calculation, go back to the last checkpoint. You lose a lot of time and money and resources that are spent idle and and wasted time. And the networking part is crucial in order to create a fail.

Congestion demands attention, otherwise it can result in higher latency and packet loss. The main dilemma around congestion is around avoidance or mitigation. We’ll look at how scheduled fabrics make sure that AI infrastructure is lossless and predictable rather than bringing additional technologies to mitigate the congestion, but do not avoid it

Why is cell-based fabric is so much better than the alternative when it comes to Ethernet for AI fabric or AI infrastructure.

Chassis and Clos, which is better?From the perspective of scale, absolutely Clos topology outranks a chassis. From an operational standpoint, a Clos topology would mean that you will need to manage a lot of boxes and that's a bigger headache than managing a single device, a chassis, one stop shop. But from a Capex standpoint, a Clos topology prevails over chassis. Looking at the alternative, Distributed Disaggregated Chassis (DDC), it takes the same scalability factor of a Clos, the operational aspects of a chassis and even when you look at the cost side of things, from an operational standpoint, DDC operates as a single device. Then from a Capex standpoint, DDC operates or works as white boxes.

We're going to talk about KDDI, one of Japan's major Tier 1 operators. They recently announced that they implemented DriveNets Network Cloud solution in its network and they are very satisfied. They are talking about huge TCO advantages, about 46% saving in power and 40% savings in rackspace, etc. Let's hear about KDDI and why is this deployment, a major deployment, of Network Cloud so important?

How can a disaggregated network solution provide benefits in terms of Total Cost of Ownership to service providers in a long term perspective

What are three things we can learn about Network Cloud in real world network operations.

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.

Today we are going to talk about the things we fear the most...End of life...which we, as network engineers, fear the most. So what do we do about end of life? With DriveNets' Network Cloud you have multiple hardware options, the entire cluster is built upon standard interfaces so it's very easy to replace or to upgrade the cluster with any box that adheres to those interfaces, and you can repurpose boxes in an exhausted cluster without the need for forklift. Watch the episode https://drivenets.com/resources/cloud-nets/season-2-ep-7-end-of-life

So what do we need to know about this move from 400 to 800?  800 is real. It's here, you can almost buy it.   It's a fairly smooth transition, having forward compatibility with the stuff you buy today.  The Network Cloud, the architecture, is agnostic to the interfaces or form factors. 

Today we are going to talk about DNOS, the DriveNets Network Operating System. Why is DNOS important and how it's different than just your ordinary network operating?