Are You Confident Your Next Chip Will Perform as Expected?

As process nodes and architectures advance, ensuring that designs behave as intended becomes increasingly difficult. In post-silicon validation, the challenges of verifying that a chip meets its specifications, understanding its operational limits, and characterizing its power and performance are also rising accordingly.

At the same time, market pressures demand faster time-to-market. This tension makes the NPI (New Product Introduction) stage more challenging than ever, especially as current best-known methods can no longer keep pace with these complexities.

This on-demand webinar includes a live demo showcasing customer case studies, demonstrating how deep data analytics accelerates NPI and streamlines the path to volume.

What you will learn:

• Detect early parametric variations and performance drifts
• Validate design assumptions to avoid costly overdesign
• Unify data across design, test, and validation
• Apply analytics to compare performance across dies, wafers, and lots
• Turn test-floor data into actionable insights