Articles by tag "AI data center"

1. Spine-Leaf Architecture Explained for Modern AI Data Centers: 2026 Upgrade Guide
   Selene Gong

   32
   As artificial intelligence workloads, particularly Large Language Model (LLM) training and real-time inference, push traditional data center infrastructures to their breaking point, the underlying network architecture must evolve. This guide bridges the gap between complex network engineering ...
2. The “Singapore+1” Hub: Best Hardware for SG, Johor & Batam Interconnect (2026 Strategy Guide)
   Selene Gong

   24
   As AI workloads, cloud services, and enterprise SaaS continue to scale across Southeast Asia, infrastructure strategies are rapidly evolving. Singapore remains the region’s primary data center hub, with over 1.4 GW of deployed capacity. However, rising land costs, strict energy constraints, ...
3. How to Build a 100G Leaf-Spine Network for GPU Servers (AI & RDMA Optimized)
   Selene Gong

   30
   Modern AI infrastructure is no longer constrained by compute power—it is constrained by the network. In GPU-driven workloads such as distributed training and large-scale model synchronization, east-west traffic dominates the entire data center fabric. This makes traditional 10G/25G ...