At Netopt.Design, we believe smarter network design starts with strategic insight. Our whitepapers explore how telecom networks can evolve to meet next-generation demands—from multi-layer architecture to AI workload optimization. These are written for CTOs, planners, and technology leaders seeking more efficient, future-ready infrastructure.
1️⃣ AI and the Future of Network Design: A Comprehensive Evolution from SONET to ROADM
Understand how telecom networks have evolved over two decades—from TDM-based SONET/SDH transport to IP/MPLS over DWDM and ROADM-based designs. This paper details major shifts driven by ecommerce, video, and AI, and outlines how operators can align their transport strategies with emerging demand patterns.
- History of transport evolution across North America
- Traffic growth impact from video, cloud, and AI
- Strategic convergence of IP and optical layers
2️⃣ NetOpt: Bridging the Multi-Layer Network Planning Divide
This whitepaper introduces Netopt as a unified planning platform that eliminates the silos between IP/MPLS and optical network design. Learn how legacy tools fail to coordinate across layers—and how Netopt delivers substantial savings by modeling everything from fiber and latency to MPLS path constraints and CDN hierarchy.
- How margin stacking inflates network capacity
- Why existing tools miss reuse opportunities
- Netopt’s brownfield-aware, SLA-driven optimization approach
3️⃣ Optimizing AI Traffic Over WAN: How NetOpt Meets Next-Generation Demands
AI workloads are reshaping how wide-area networks must perform. This paper explains how Netopt supports AI training and inference across distributed fiber-connected data centers, using latency-aware, multi-path designs to optimize performance and resilience.
- Designing latency-sensitive WAN paths for AI training
- Connecting global data centers for distributed inference
- How Netopt models SLA, cost, and performance trade-offs