Designing for Scale: 5 Ways to Optimize AI Data Centers

Trouble scaling your AI infrastructure? You’re not alone. Whether you’re managing hyperscale infrastructure or building AI-optimized chipsets, semiconductors, or high-speed digital designs, these insights will help you scale smarter. Get your copy to future-proof your AI data center and stay ahead of the next wave of innovation.
June 12, 2025

AI is evolving fast, as are the demands on your data center. From large language models (LLMs) to inference on the edge, AI workloads are pushing infrastructure to the limit — and beyond. To keep pace, IT leaders and engineers must rethink how data centers are designed, tested, and scaled. This eBook from Keysight explores five key strategies to help you adapt:

  • Validate Like It’s Real Life
    • Traditional testing doesn’t reflect the scale and complexity of AI workloads. System-level validation and real-world AI workload emulation help identify bottlenecks, optimize architectures, and ensure maximum GPU utilization.
  • Design for What’s Next
    • PCIe, DDR, and CXL standards are rapidly advancing — making it harder to test and validate new designs. Learn how to meet next-gen standards with high-speed test tools and EDA software.
  • Eliminate Network Bottlenecks
    • Scaling AI means scaling interconnects. But 1.6T Ethernet has its own set of challenges. Explore how robust simulation, validation, and testing solutions can help deliver speed without sacrificing reliability.
  • Optimize Network Fabrics
    • AI networks must move fast — and scale faster. Discover practical solutions to benchmark performance, detect latency, and optimize efficiency to ensure seamless coordination between nodes.
  • Rethink Power and Cooling 
    • In AI data centers, energy management is just as important as performance. Learn how advanced power analysis and thermal optimization can improve your infrastructure’s capability to scale.

Whether you’re designing custom silicon, manufacturing network components, or scaling AI infrastructure, these strategies provide a roadmap for sustainable, high-performance AI operations. Read the eBook now to take your next step toward smarter, more scalable AI data centers.