tag: Cadence

An AI Model Fit For Purpose
By Brian Bailey - 09 Jul, 2026 - Comments: 0

Key takeaways A model can only be used for its intended purpose, in a defined context, without taking unknown risks. Models must be created using a well-defined process and verified in a way that provides a level of independence. Deployment requires trust and a way to track the properties of the model. A model captures some kind of behavior exhibited in the real world, but a... » read more

Field Guide to DDR Signal Integrity Analysis
By Cadence - 08 Jul, 2026 - Comments: 0

A working field guide to the JEDEC measurements that decide DDR signoff: eye width and height, overshoot and ringback, DQ-to-DQS skew, RX mask margins, and the BER reports behind them. See how Sigrity X PowerSI and Sigrity SystemSI verify each one against JEDEC values inside your Allegro design flow. What's Inside: Know exactly what to measure: The full JEDEC checklist for DDR4, DDR5, ... » read more

Blog Review: July 8
By Jesse Allen - 08 Jul, 2026 - Comments: 0

Synopsys' Greg Sorber finds that an explosion in product complexity has made it increasingly difficult to isolate decisions or defer validation until late in the development process, fundamentally changing how systems ranging from cars to consumer electronics are designed. Cadence's Harinee Rathod shows how MACsec helps ensure data confidentiality, integrity, and authenticity directly at the... » read more

AI Data Centers And Auto Industry Converge On Same Issues
By Liz Allan - 02 Jul, 2026 - Comments: 0

Key Takeaways: AI data centers need power from a range of sources, including batteries, to safeguard against blackouts, transient voltage spikes, and grid demand spikes. As with regenerative braking and bidirectional charging in electric vehicles, data centers could feed power or heat back into the grid for public use, but the immediate goal is to disrupt the grid as little as possible.... » read more

Defending Against AI-Enabled Data Fusion
By Ann Mutschler - 02 Jul, 2026 - Comments: 0

Key Takeaways:  By fusing vast amounts of white-, gray-, and black-market data, attackers can build a digital twin of a person and their environment, making targeted attacks far easier. The intersection of AI and cybersecurity is the data itself. Trustworthy fusion depends on authenticated, integrity‑checked inputs and verifiable, attributable AI outputs. Defending against AI-enab... » read more

NVMe 2.0 Explained: What’s New And Why It Matters
By Vishal Patel - 02 Jul, 2026 - Comments: 0

Non-Volatile Memory Express (NVMe) has become the dominant protocol for high-performance storage across client SSDs, enterprise drives, and hyperscale data centers. With NVMe 2.0, the specification expands beyond traditional block-based SSD access with new command sets, broader media support, improved transport organization, and enhancements for modern deployments. This post explores what is n... » read more

Fine-Tuning Humanoid Vision And Movement
By Liz Allan - 02 Jul, 2026 - Comments: 0

Key Takeaways: Humanoids and autonomous vehicles share a zonal architecture, a need for FuSa, and a reliance on radar technology to see around corners and through objects. Multiple cameras with different fidelities can better replicate a human’s field of view; for example, some can provide wide fields of view at low grade, low fidelity, while others strive for infinite fidelity in a... » read more

Observability Is A Missing Layer In AI-Era Chiplet Design
By Ann Mutschler - 01 Jul, 2026 - Comments: 0

Key Takeaways: In chiplet-based architectures, observability must be designed as a fabric-aligned, cross-die telemetry plane so architects can correlate traffic, latency, congestion, and fault behavior across package boundaries without losing system context. AI can extract value from high-volume silicon telemetry only when the architecture provides consistent instrumentation, near-senso... » read more

Blog Review: July 1
By Jesse Allen - 01 Jul, 2026 - Comments: 0

Cadence's Krunal Patel highlights auto-negotiation, a foundational feature in Ethernet that allows two connected devices to automatically determine the best possible operating parameters for a link, eliminating manual configuration and ensuring optimal performance. Synopsys' Sumit Vishwakarma warns of the rising cost of overdesign, particularly in advanced node and multi-die designs, and how... » read more

Cadence Reality Digital Twin Platform and NVIDIA Omniverse Integration
By Cadence - 01 Jul, 2026 - Comments: 0

The rapid expansion of AI infrastructure requires a paradigm shift in how data centers are designed, built, and operated. Traditional workflows are often fragmented, relying on isolated tools that obscure the full operational context required for high-performance computing (HPC) environments. The Cadence Reality Digital Twin Platform addresses these challenges by integrating physics-... » read more

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