There is an interesting article by Kexun ZHang of ChipAgents on their blogsite. This is a company to watch, absolutely. Here is my take on it:
Software engineering has already demonstrated the trajectory of agentic AI. Coding tools progressed from autocomplete to systems that interpret requests, inspect repositories, modify… Read More
Intel’s Crescent Island is a discrete data-center GPU designed for agentic AI inference, where performance is constrained by more than matrix arithmetic. Multi-step agents impose latency through repeated model calls and tool interactions, consume large memory capacity for weights and long-context key-value caches, and… Read More
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A purpose-built multi-agent system for chip design shouldn’t be a quarter-long project. On the Agentrys Studio Platform, the initial build takes about 30 minutes—plus however much customization your flow and data require.
In this hands-on session, we’ll build a working end-to-end… Read More
This year, DAC will be buzzing about AI from every direction. The debate of build vs. buy will also be a popular topic. And the debate of who owns the intellectual property embodied in chip designs and how to control it will also get a significant amount of airtime. These are all interesting and compelling discussion points. It turns… Read More
Daniel is joined by Nagesh Gupta, CEO of llmda.ai. Nagesh has built a career spanning multiple aspects of system design and development at companies including Hewlett-Packard, Cadence, Xilinx, and Lattice Semiconductor. He is also a serial entrepreneur. Nagesh founded Taray, Inc., which developed memory interface generators… Read More
The semiconductor industry is entering a transformative new phase, driven by the convergence of artificial intelligence, cloud computing, and increasingly complex chip architectures. That message took center stage during the keynote talks at the Siemens EDA User2User 2026 North America conference. Executives from Siemens,… Read More
Agentic AI is often presented as a revolutionary shift in semiconductor manufacturing, driven by large language models and generative AI. However, this framing overlooks an important reality: today’s advances are built on decades of prior work. As Jonathan Holt of PDF Solutions emphasizes in his recent keynote at the APCM 2026… Read More
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Embedded systems programs rarely fail because any one team lacks capability. They fail because critical engineering artifacts drift out of alignment over time and distance.
This includes requirements, architecture, implementation, verification, hardware bring-up, firmware,… Read More
“How Will Agentic AI Change Chip Design and Verification?” features EDA and emerging agentic AI company executives and entrepreneurs discussing changes within chip design and verification as agentic AI tools become more mainstream. Panelists will distill the excitement surrounding the innovation in chip design and verification,… Read More
Agentic AI is emerging as a transformative paradigm in semiconductor design and manufacturing, driven by the exponential growth in data, system complexity, and performance demands. Modern semiconductor fabs generate massive volumes of heterogeneous data at unprecedented velocity. For instance, a single minute of operation
