tag: AI

Agentic AI Is Changing Data Center Architectures
By Ann Mutschler - 11 Jun, 2026 - Comments: 0

Key Takeaways: The rise of agentic AI is shifting data centers from GPU-centric number crunching to CPU-driven orchestration, where managing long-running reasoning loops and context is just as important as raw compute. Integrating CPUs, GPUs, and stacked memory into tightly coupled multi-die architectures with varying workloads makes it much harder to ensure they will be reliable and ef... » read more

Clocked DDR5 Client Memory Modules Enable Scaling To 9600 MT/s For AI PCs
By Carlos Weissenberg - 11 Jun, 2026 - Comments: 0

AI PCs are driving a new class of client workloads that behave very differently from traditional productivity or multimedia applications. Agentic AI systems are expected to plan, execute, and adapt in real time, maintaining persistent context while orchestrating multiple concurrent tasks. These usage patterns place sustained pressure on the memory subsystem, requiring not only higher peak bandw... » read more

How To Start Building Edge-Native AI
By Sharad Chole - 11 Jun, 2026 - Comments: 0

Cloud AI enables features like voice assistants and recommendations via centralized data centers, but it relies on consistent network connectivity, which often fails in real-world conditions. Edge-native AI shifts inference to devices such as phones, cars, and sensors, enabling real-time processing, enhanced privacy, and operational resilience. Why edge AI outpaces cloud Edge AI addresses key... » read more

Building A Production-Ready Optically Connected Rack For AI Scale-Up
By Nandita Aggarwal - 11 Jun, 2026 - Comments: 0

By Nandita Aggarwal and Nicholas Chang As AI models drive compute demand, servers keep getting bigger. Rack‑scale AI systems (such as the 72-GPU systems from NVIDIA or AMD) enable many GPUs to work together through system-level optimization. They push beyond the limits of single-chip performance and meet the soaring compute needs of the AI era. But this is just the beginning. The next s... » read more

Beyond The Demo: Deploying And Evaluating Open-Source AI Workloads
By Odin Shen - 11 Jun, 2026 - Comments: 0

As more open-source AI models move closer to real-world adoption, developers are changing how they evaluate edge deployment. The question is no longer simply whether a model can run, but whether it can be deployed reproducibly on a concrete platform, observed in practice, and turned into meaningful deployment decisions based on actual technical evidence. For developers, the CIX Armv9 platfor... » read more

Building Multi-Agent Systems For ASIC Flows
By Ed Sperling - 10 Jun, 2026 - Comments: 0

If one AI agent can solve a problem in a certain amount of time, can multiple agents solve it faster? The answer is yes, but only if the agents have well-defined roles and targets. This is where orchestrators fit in, and why they are so critical to agentic AI. Kexun Zhang, head of research at ChipAgents, talks about what exactly AI agents are, how they can be used to solve big problems that wou... » read more

AI Models Transform Defect Inspection And Review, But Can Fail To Scale
By Laura Peters - 09 Jun, 2026 - Comments: 0

Key Takeaways: AI plays a role in improving defect capture rate and distinguishing between yield-killing and nuisance defects. New developments in wafer edge inspection are proving essential to bonded wafer yields. 70% of AI initiatives stall after pilot implementation, but some pitfalls can be avoided. One of the brightest spots in AI use today is the industry’s ability t... » read more

What I Learned At The 2026 GSA Tech Summit: The Future Of Semiconductor Collaboration Is Full Stack
By Ming Zhang - 09 Jun, 2026 - Comments: 0

I had the privilege of joining a panel at the Global Semiconductor Alliance (GSA) Tech Summit in June in Scottsdale, Arizona, titled "Collaboration Models That Actually Work." It was a fitting title for an event that brought together executives from across the semiconductor ecosystem, including foundries, fabless companies, equipment makers, EDA vendors, cloud providers, and systems integrat... » read more

Effective UX/UI Is A Critical Link Between AI Insights And Yield Improvement
By Keira Lei - 09 Jun, 2026 - Comments: 0

The semiconductor industry is undergoing a fundamental shift in how data is generated, analyzed, and acted upon thanks to the integration of AI into process control flows. As AI becomes more deeply integrated into the manufacturing process, its value is increasingly determined not by data-driven decision making alone, but by how effectively its outputs are delivered, interpreted, and acted upon... » read more

Disturbance In Verification
By Brian Bailey - 08 Jun, 2026 - Comments: 3

When writing my recent story about agentic verification, there was one quote from Abhi Kolpekwar, senior vice-president and general manager at Siemens EDA, that really struck a chord. He was talking about the additional token costs that would be consumed when a verification engineer starts asking the agents to do what was considered to be part of their job. "Consider the total cost of owners... » read more

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