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As AI models grow exponentially, the infrastructure supporting them is struggling under the pressure. At DAC, one company stood out with a solution that doesn’t just monitor chips, it empowers them to adapt in real time to these new workload requirements.
Unlike traditional telemetry or post-silicon debug tools, proteanTecs… Read More
As the new name reflects, chip and system design were a major focus at DAC. So was the role of AI to enable those activities. But getting an AI-enabled design flow to work effectively across chip, subsystem and system-level design presents many significant challenges. One important one is effectively managing the vast amount of… Read More
AI technology was prevalent at DAC 2025, but can we really trust what Generative AI (GenAI) is producing? Vishal Moondhra, VP of Solutions Engineering from Perforce talked about this topic in the Exhibitor Forum on Monday, so I got a front row seat to learn more.
Vishal started out by introducing the four challenges and risks of using… Read More
In AI it is easy to be distracted by hype and miss the real advances in technology and adoption that are making a difference today. Accellera hosted a panel at DAC on just this topic, moderated by Dan Nenni (Mr. SemiWiki). Panelists were: Chuck Alpert, Cadence’s AI Fellow driving cross-functional Agentic AI solutions throughout… Read More
Many know Arteris as the “network-on-chip”, or NoC, company. Through acquisitions and forward-looking development, the footprint for Arteris has grown beyond smart interconnect IP. At DAC this year, Arteris highlighted its latest expansion with a new SoC integration automation product called Magillem Packaging. The announcement… Read More
As expected, security was a big topic at DAC this year. The growth of AI has demanded complex, purpose-built semiconductors to run ever-increasing workloads. AI has helped to design those complex chips more efficiently and with less power demands. There was a lot of discussion on these topics. But there is another part of this trend.… Read More
Edge AI is rapidly transforming how intelligent solutions are designed, from smart home devices to autonomous vehicles, healthcare gadgets, and industrial IoT. Yet, architects, chip designers, and product managers frequently grapple with a common and daunting challenge: creating efficient, high-performance AI solutions… Read More
In today’s data-driven systems—from cloud storage and AI accelerators to automotive logging and edge computing—every byte counts. The exponential growth in data volumes, real-time processing demands, and constrained bandwidth has made efficient, lossless data compression a mission-critical requirement. Software-based… Read More
Innovation is never ending in verification, for performance, coverage, connection to verification plans and other aspects of DV. But debug, accounting for 40% of the verification cycle, has remained stubbornly resistant to significant automation. Debug IDEs help to visualize but don’t address the core problem: given a failure,… Read More
What if you could reduce power and extend chip lifetime, without compromising performance? We all know the importance of power optimization for advanced SoCs. Thanks to the massive build out of AI workloads, power consumption has gone from a cost or cooling headache to an existential threat to the planet, if current power consumptions… Read More
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