Wiwynn Provides Energy-Optimized Data Center IT Solutions from Cloud to Edge with Cadence Optimality
As signal data rates skyrocket in the AI era, traditional design methodologies are no longer enough. Discover how Wiwynn is collaborating with Cadence to address complex signal integrity challenges, providing energy-optimized IT solutions that redefine the total cost of ownership from the cloud to the edge.
The Complexity Crisis in AI Server Design :
The transition to high-speed AI workloads has introduced significant signal integrity (SI) hurdles. Increased data rates affect system stability and performance, often leading to "uncertainty problems" where physical measurement data fails to align with original simulation curves. For Wiwynn, which ships products to over 500 data centres worldwide, managing these inconsistencies is critical for maintaining high-efficiency server storage and rack solutions while controlling data center infrastructure costs.
To overcome these challenges, Wiwynn adopted a new methodology pairing Cadence Optimality Intelligent System Explorer with the Clarity 3D Solver.
The new flow is approximately 800 times faster than original parameter sweeping techniques. By using AI-driven optimization, engineers can sweep through design parameters in a fraction of the time, converging on the ideal configuration for PCB transmission line performance.
The integration allows Wiwynn to establish accurate loss engines, correct for surface roughness, and build comprehensive insertion loss databases. This logic is applied to optimize physical features such as via size and trace size, ensuring the digital model perfectly matches the measured hardware.
By grounding simulations in high-fidelity 3D EM solvers, the methodology eliminates the "gap" between the lab and the factory, ensuring predictable performance for hyperscale computing.
Video Highlights & Timestamps :
0:09 – Wiwynn’s Commitment to Data Centres and Cloud Innovation
0:31 – Optimizing Total Cost of Ownership (TCO) from Cloud to Edge
0:54 – Increasing Data Rates and Signal Integrity Issues
1:23 – Uncertainty Between Measurement Data and Curves
1:32 – Adopting Cadence Optimality and Clarity 3D Solver
1:40 – Achieving 800X Faster Design Parameter Gathering
1:53 – Enhancing PCB Panel Utilization and Reducing Costs
2:07 – Establishing Loss Engines and Insertion Loss Databases
2:21 – Continuing the Collaboration for Advanced PCB Design
Watch the full video to see the performance benchmarks and learn why a 1:32 methodology shift is the secret to achieving the best TCO in the modern data center.
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Learn more at https://www.cadence.com.
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