At MWC 2025, Sanjay Kumar, VP of Product and Marketing at Arrcus, highlighted the company’s game-changing collaborations with industry leaders like Broadcom, NVIDIA, Intel, and Fujitsu. These partnerships enable Arrcus’ software-driven networking solutions to be deployed on any hardware, unlocking new levels of flexibility and efficiency for enterprises and service providers.
Arrcus’ innovations in virtualized networking empower businesses to streamline operations across edge, core, and multi-cloud environments while reducing costs and accelerating service deployment. Addressing key industry trends like AI and 5G, Arrcus is helping service providers maximize GPU utilization, create lossless, low-latency networks, and monetize their infrastructure through solutions like network slicing.
Diana Goovaerts:
Sanjay, it's so great to be here with you on the show floor. Can you talk to me a little bit about some of the collaborations that you guys are doing and the impact that those have had?
Sanjay Kumar:
Great, thanks for that question. So we have many collaborators on the technical front. At the infrastructure side, we work with folks like Broadcom, Nvidia, we work with Intel, we work with Arm, and essentially what this provides customers is the ability to deploy our network operating system on any kind of hardware. And that opens up a very wide range of use cases for them to be able to deploy at. Then we work with system vendors, like for example, Lanner is one particular one that we are working very closely with. And that allows the customers, again, to be able to deploy next-generation hardware for multiple use cases. And then on the system integrator side, we work with a number of partners, like for example, Fujitsu. And that helps bring all of these solutions together for the customers and for them to be able to realize the benefits of open networking.
Diana Goovaerts:
Can you tell me a little bit about the technology innovations Arrcus is bringing to market and the advantages that those give customers?
Sanjay Kumar:
That's a great question. So as far as what Arrcus... What we deliver to the market is concerned, we provide virtualized networking that allows customers to run it on any kind of form factor. This enables a number of different use cases for them, all the way from the edge to the core in the data centers across the transport for service providers and into the multi-cloud domain. Now, as far as the benefits are concerned, what this gives us, it gives the customers is really the ability to leverage one operating system and one platform for all these different use cases. That gives them much more operational efficiency, it reduces the total cost of ownership and gives them a much faster pace of innovation with all of the new services that they want to deploy. Helps them drive top-line revenue as well. And at the end of the day, customers really begin to realize the benefits or be able to monetize the network and at the same time be able to control their costs. So that's the kind of innovation we really provide our customers.
Diana Goovaerts:
What kinds of networking trends do you see shaping the industry and how is Arrcus positioned to address those going forward?
Sanjay Kumar:
Another great question. So if you take a look at this show itself, which is very much focused around the telcos, the kind of trends that we see and the challenges for these service providers is that you've got 5G, you've got AI. And the convergence of these essentially requires the service providers to be able to figure out how to monetize the infrastructure and the spend that they're putting into it, and at the same time be able to control costs. So these sort of competing challenges that they have are what we are looking to solve for them.
So with 5G, for example, we provide the ability for them to be able to monetize that infrastructure with things like network slicing and be able to deliver new applications on them so that they can actually generate new revenue streams at the same time controlling their costs. Now when you take a look at AI and where the market is essentially headed right now, with AI, what you need to be able to do is be able to help them maximize the utilization of their GPU resources, have networks that are lossless congestion free that allow them to be able to very quickly be able to deploy the GPUs and at the same time, be able to span across the distributed AI workflows that they have and tie them all together. And that's where we come in, being able to help them get a seamless fabric across all of these different workloads and at the same time give them a lossless latency, low latency and congestion free network.
Diana Goovaerts:
Excellent. Thank you so much.
Sanjay Kumar:
Thank you so much for having me.