Systems & Design

Top Stories

I/O Design Challenges Grow In AI Data Centers And HPC Clu...

Physical I/Os can be a chokepoint for high-performance chips and high-speed interconnect protocols, requiring design tradeoffs and extra reliabilit...

Verification Methodologies Struggle To Keep Up With AI

Engineers are flooded with new capabilities. The problem now is how best to deploy them.

Executive Outlook: Agentic AI’s Impact On Chip Design

Can engineers trust AI to get everything right in semiconductor design and verification?

Designing Chips That Can Explain Themselves

On-die monitors, localized analytics, and lifecycle data are giving architects new ways to close the gap between design intent and silicon behavior.

Swapping Out Chiplets: I/Os Vs. Compute

Multi-die assemblies give chip architects the option to change some dies while keeping the rest of the system intact, but which is best to keep?

Observability Is Essential For Modern Silicon

What on-die visibility reveals, and why it's especially important for AI, automotive, aerospace, and advanced packaging.

Options Grow For Standardizing Data Movement And Sharing ...

But figuring out which ones to use, and when to use them, isn't always clear.

Confusion Grows With More Interconnect Options And Tradeoffs

Each standard serves a specific use case, so chip architects are choosing more than one for a single design.

Using AI To Monitor Dashboards In Chips And Systems

AI agents can be used to identify potential issues during operation and react before it's too late.

Designing Chips In The Context Of Rapidly Evolving AI

Long‑running agents, tool-calling LLMs, and multimodal chaos are rewriting edge compute rules, and making chip design more challenging.

More Top Stories »



Round Tables

Executive Outlook: Agentic AI’s Impact On Chip Design

Can engineers trust AI to get everything right in semiconductor design and verification?

Designing Chips That Can Explain Themselves

On-die monitors, localized analytics, and lifecycle data are giving architects new ways to close the gap between design intent and silicon behavior.

Observability Is Essential For Modern Silicon

What on-die visibility reveals, and why it's especially important for AI, automotive, aerospace, and advanced packaging.

Designing Chips In The Context Of Rapidly Evolving AI

Long‑running agents, tool-calling LLMs, and multimodal chaos are rewriting edge compute rules, and making chip design more challenging.

AI Growing Impact On Chip Design And EDA Tools

Demand for faster design and more automation grows from key customers.

More Roundtables »



Multimedia

How Far Left Can You Shift?

Complex chips require much more work earlier in the flow.

Signoff Of Synthesis-Optimized Registers

When is a complex chip design ready to be shipped to manufacturing?

Building Multi-Agent Systems For ASIC Flows

How agents can be used to divide and conquer IC design problems.

The Evolution Of UCIe

How the standard matured from simple connectivity to secure data movement across multiple chiplets and packaging approaches.

Overcoming Bottlenecks In Data Movement

Where the choke points are in AI systems and what to do about them.

More Multimedia »



See All Posts in System-Level Design »

Latest Blogs

Looking Past The Horizon

How Far Left Can We Really Shift Verification?

When verification is never fully complete, the only question left is how earl...
June 25, 2026
A System Perspective

Realizing The Future Of 3D-IC Design

Designing heterogeneously integrated packages necessitates a system-centric c...
June 25, 2026
NoC NoC

Reducing Avoidable Memory Trips In HBM Systems

Last-level cache helps manage data movement and reduces pressure on the exter...
June 25, 2026
The Next Thread

Wafer-Scale vs. Chiplets: The New War? Part 2

Moving data fast enough so that compute stops waiting.
June 25, 2026
Intelligent System Design

More Massive Still: Why AI Infrastructure Demands A Unifi...

Tokens-per-watt is now the primary metric driving AI data center optimization.
June 25, 2026
AI Agents In Design And Verification

Introducing An Agentic LLM For Chip Design

A fine-tuned model brings frontier-level AI performance to chip design.
June 25, 2026
First By Design

Scaling Production Test Without Scaling Complexity

Avoid synchronization and concurrency issues that commonly appear in multi-DU...
June 25, 2026
Making Formal Normal

Why Your NoC Verification Strategy Must Consider Using Fo...

Exhaustive proofs are the only way to find deep corner-case bugs that can res...
May 28, 2026
From Simulation To Always-On Physics

Foundation Model For Physics: The Next Layer Of Intellige...

Making validated physics reasoning continuously available across the engineer...
May 28, 2026
Clock Talk

A Bench-To-In-Field Telemetry Platform For Data Center Po...

Enabling SoCs to run at their true power and performance limits across the fu...
May 28, 2026

Knowledge Centers
Entities, people and technologies explored


  Trending Articles

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Chip Industry Week In Review

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Toward Agentic Verification

Using AI agents for verifying designs holds huge potential, but can it deliver? And what comes next?

Swapping Out Chiplets: I/Os Vs. Compute

Multi-die assemblies give chip architects the option to change some dies while keeping the rest of the system intact, but which is best to keep?