Embedded systems programs rarely fail because of a lack of execution capability. They fail because critical engineering documentation drifts out of alignment over time and distance. Simply put, the team is correctly following the wrong instructions. This includes requirements, architecture, implementation, verification,… Read More
Artificial Intelligence
Disaggregating AI Compute to Break the Tokens Barrier
Among several topics dominating news streams these days, giant datacenters are a leading theme. They point to an AI-centric future while raising real concerns about sustainability and scalability. Certainly land, power and water demand are very present concerns for most of us, witness growing pushback against building new… Read More
Rambus Delivers Complete DDR5 Client Chipset for High-Speed CUDIMM and CSODIMM Memory Modules
The rapid emergence of AI-enabled personal computers is driving unprecedented demand for higher memory bandwidth, improved signal integrity and greater system reliability. To address these requirements, Rambus has introduced a complete client memory interface chipset for Clocked Unbuffered Dual In-Line Memory Modules… Read More
From Evidence to Authority: Bounded Gate Authority for Governed Semiconductor Realization
Advanced semiconductor systems are no longer limited by a single engineering domain. They are constrained by the convergence of many interdependent vectors: silicon nodes, advanced packaging architectures, substrate materials, platform PCBs, power-delivery networks, thermal behavior, manufacturing variation, firmware… Read More
Broadcom Told the Truth. The Market Hasn’t Heard the Rest of It Yet.
Hock Tan and his CFO Kirsten Spears logged into the June 3 earnings call with numbers that should have satisfied anyone. AI semiconductor revenue hit $10.8 billion in Q2, up 143% year over year, above Broadcom’s own forecast. Full-year AI guidance went to $56 billion. The $100 billion fiscal 2027 target was reaffirmed. By any prior… Read More
Podcast EP349: llmda.a’s Unique AI Fabric for Embedded Systems Development with Nagesh Gupta
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
An Update on IP Lifecycle Management (IPLM)
IPLM is not always prominent, nevertheless it is a very necessary aspect of semiconductor (and systems) design. Modern designs build on a wide range of IPs and subsystems, each evolving through multiple variants and versions, each with different PPA characteristics and recommended use-cases, many from different suppliers… Read More
Learn How llmda Uses Agentic AI to Generate Hardware Docs & Keep Them Consistent
Accurate, complete, and consistent technical documentation is a critical element of success for any embedded system design project. This includes IP, SoCs, and the associated hardware and software infrastructure. When documentation contains errors, the consequences go beyond engineering inefficiency. Errors that drive… Read More
TSMC Pioneers a New Era in AI-Powered Trade Secret Management, Achieving Intelligent Innovation
As semiconductor manufacturing becomes increasingly knowledge-intensive, protecting intellectual property and trade secrets has emerged as a strategic imperative. The world’s leading foundry, TSMC is advancing beyond conventional information security practices by integrating artificial intelligence into… Read More
A Look at the High-Profile Speakers Presenting at #DAC2026
Many of us think of DAC as an important trade show for the Semiconductors and EDA industries. That is certainly part of the history of DAC, but the event is also a highly prestigious technical conference dating back to 1964. In fact, the exhibits at DAC began 20 years after the conference started. That long history as a premier technical… Read More


The Memory Sector Is Becoming One of the Main Beneficiaries of the AI Boom