Removing Distance as a Barrier to Discovery
The volume of data isn't shrinking, and with AI, it's only going to grow exponentially. Networks are already struggling to handle current data loads. Modern infrastructure needs to be faster, with more reliable interconnections among applications, data, and users. Training may happen at one facility, inference at another, and collaboration across many. When networks introduce friction, discovery slows regardless of how powerful the models are.
Scientific Research Collaboration
Large research projects rely on massive, shared datasets and distributed teams. The network must move data predictably across regional and national research and education networks (RENs) and enable secure collaboration without slowing the work.
Hybrid HPC and AI Clusters
Model training often occurs at national computing centers while researchers run inference remotely. The network must provide high-throughput, REN-ready interconnect and maintain consistent access to shared compute resources wherever they live.
Campus AI and Operations
Adaptive learning, automated tutoring, and operational analytics depend on inference-heavy workloads at the campus edge. The network must deliver reliable, campus-wide connectivity that scales simply across diverse endpoints without requiring institution-by-institution redesign.
Cloud and Ecosystem Connectivity
Campuses consume AI models and services via APIs, hosted platforms, and cloud providers, while relying on RENs for dedicated connectivity across their research footprint. The network must provide private links to cloud interconnects and resilient connectivity across RENs.
INFOBRIEF
Private Optical Networks for AI-Driven Research and Education
Research and education workflows now depend on large volumes of data moving securely and predictably across campuses, cloud platforms, shared computing environments, and research networks. AI adds urgency to an already growing network challenge. As these data-intensive workflows scale, network performance becomes foundational to discovery, learning, and campus operations. This infobrief explores four decision-critical use cases shaping R&E network strategy.
HOW WE DELIVER
The Right Network. The Right Partner.
ePlus collaborates with Ciena because the optical layer is where performance, security, and scale are won or lost — and Ciena leads on all three. As a Ciena Service-Accredited Partner, ePlus designs, deploys, validates, and optimizes that technology as a private optical network over dark fiber, giving you the performance, control, and scale of your own infrastructure, delivered with premium, dedicated support.
Market-Leading DCI
The world's most widely deployed data center interconnect, moving massive data flows between sites with the throughput and low latency modern workloads need.
Quantum-Ready Encryption
Built-in encryption that protects your data now and against future quantum threats, so what you move today can't be harvested and decrypted later.
Navigator AIOps
AI-driven network operations that predict and resolve issues before they affect performance, keeping the network reliable and out of your way.
WaveLogic 6
The world's first 1.6T coherent optics, delivering 50% more capacity at 20% less power per bit, so you scale without a matching jump in power and cost.
Lower Total Cost of Ownership
Better fiber utilization and energy efficiency significantly reduce long-term infrastructure costs. xxxx xxxxx xxxxx xxxxx xxxxx xxxx xxxx xxxx
Faster Time to Production
Validated designs, integrated delivery, and enablement get your network live sooner.
Reduced Risk
Lifecycle services and operational expertise protect your investment at every stage.
Future-Ready Architecture
Built to scale alongside your growth — the right foundation for today and the road ahead.
SEE IT IN YOUR ENVIRONMENT
Prove It Before You Build It
In the joint ePlus and Ciena lab, we recreate your environment as it runs today — whatever vendors and topology you have — alongside the Ciena technology you're considering, and build a working proof of concept. You see exactly how the design performs before you commit to deploying it.
Get Started With a Complimentary Data Transport Analysis.
Whether you're evaluating your current network infrastructure, planning for AI-scale workloads, or ready to build, our specialists can help you assess your data flows, identify opportunities to improve performance and efficiency, and design a path forward.
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