May The Fourth Be With You(r Network)

It is a period of rapid expansion. Across the galaxy, the rapid proliferation of AI workloads is driving an unprecedented surge in data center demand, with network infrastructure emerging as a critical bottleneck.
This May the Fourth, we’re looking at challenges facing current network infrastructure. There are a number of lessons to be learned from the galaxy far far away…for networks.

Lesson 1 – Networking is the AI Enabler 

As AI clusters grow more complex, success depends on implementing the best network infrastructure. Like the Force, the network determines the success of AI clusters.

Multi-tenant AI and HPC clusters are replacing single-job environments, making the network a critical determinant of performance and efficiency. Rather than simple connectivity, the network must ensure strict tenant isolation, intelligent load balancing, and high utilization across diverse traffic patterns. Traditional approaches introduce complexity or bottlenecks, while purpose-built, lossless fabrics with native multi-tenancy can maximize resource use, resilience, and scalability—turning the network from a constraint into a key driver of AI innovation.

Learn more: The Network Can Make or Break the Multi-Tenant HPC/AI cluster

“The Force is what gives a Jedi his power. It’s an energy field created by all living things. It surrounds us and penetrates us. It binds the galaxy together.”
– Obi-Wan Kenobi

Lesson 2 – See the numbers

“Never tell me the odds!” replied Han Solo as the Millennium Falcon entered an asteroid belt. DriveNets redefines what’s possible for Ethernet in AI infrastructure. DriveNets’ Fabric-Scheduled Ethernet delivers up to 18% better performance than InfiniBand, while maintaining the openness and flexibility of standard Ethernet.

By eliminating congestion and enabling predictable, lossless communication, Ethernet evolves from a cost-efficient alternative into a superior, scalable fabric for large-scale AI workloads.

Learn more: Ethernet beats InfiniBand in production. See the numbers

Lesson 3 – Deliver the performance required by high-end AI networks

Yoda famously instructed, “Do. Or do not. There is no try.”

DriveNets has taken this to heart, re-engineering Ethernet into a deterministic, lossless fabric using a scheduled architecture that pre-plans traffic flows instead of reacting to congestion. By combining cell-based transport, virtual output queuing, and centralized scheduling, it ensures zero packet loss, balanced traffic, and consistent performance—enabling higher GPU utilization, faster training, and scalable AI clusters without proprietary networking constraints.

Learn more: Re-engineering Ethernet for AI – Inside DriveNets Lossless Fabric

Lesson 4 – GPU-as-a-Service (GPUaaS) can drive top-line revenue

“These aren’t the droids you’re looking for,” Obi Wan replied to the stormtroopers at Mos Eisley.

AI is shifting service providers from cost optimization to revenue generation by enabling new business models like GPU-as-a-Service. Rather than just improving network efficiency, providers can monetize AI by leveraging existing assets such as infrastructure, customer relationships, and operational expertise. Success requires a clear business case around demand, competition, and costs. Those who adapt can transform AI from a backend efficiency tool into a top-line growth engine.

Learn more: Service Providers and AI – from Bottom Line to Top Line

“This is the way.”
– Din Djarin, The Mandalorian

Lesson 5 – Scale AI Workloads Over Multiple Sites

Maintaining performance across distance. This is the way.

As AI clusters scale beyond a single data center, organizations are distributing workloads across multiple sites to overcome power and space constraints. However, maintaining performance across distance requires deterministic, lossless connectivity. DriveNets addresses this with a fabric-scheduled Ethernet architecture using deep buffers, enabling consistent, high-performance communication between GPUs over tens of kilometers. This approach allows seamless scaling of AI workloads while preserving efficiency, utilization, and job completion times across geographically distributed clusters.

Learn more: Scaling AI Clusters Across Multi-Site Deployments

“You must unlearn what you have learned.”
– Yoda, The Empire Strikes Back

Final Lesson – Unlearn What You Have Learned

Yoda’s instruction to “unlearn what you have learned” is ultimately about abandoning assumptions that no longer hold. Traditional technologies have served their purpose, but they fall short of the demands of modern, elastic environments. As AI becomes pervasive the importance of a robust, intelligent network fabric cannot be

DriveNets is helping network operators embrace a new model: open, scalable, software-driven, and future-ready.

May the Force Be With You … Always

The ultimate lesson from all these examples is that it isn’t enough to use lightsabers and the Force, starships and blasters (or an endless supply of Stormtroopers). Taking a new, approach to building networks is key.

To unleash the power of the Force, er, I mean, the network, DriveNets created a radical new way to build high-scale networks, changing the network’s economic model. The technology is now used for AI networking infrastructure, delivering the highest performance Ethernet fabric for AI back-end, storage, and front-end networks, maximizing the efficiency of AI infrastructures and substantially improving their cost structure.