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Artificial Intelligence
As AI and HPC systems scale to thousands of CPUs, GPUs, and accelerators, interconnect performance increasingly determines end-to-end efficiency. Training and inference pipelines rely on low-latency coordination, high-bandwidth memory transfers, and rapid communication across heterogeneous devices. With model sizes… Read More
How’s that for a clickable title? It really should be called Jensen Huang’s origin story but who is going to click on that?
As podcaster myself I can say without a doubt that this was the best podcast I have listened to all year. During my 30+ EDA and IP career Nvidia was a customer on many different occasions. I do know how… Read More
At times it has seemed like any development in EDA had to build a GenAI app that would catch the attention of Wall Street. Now I see more attention to GenAI being used for less glamorous but eminently more practical advances. This recent white paper from Siemens on how to help verification engineers get up to speed faster with PSS is … Read More
The natural language understanding now possible in LLMs has raised interest in using specs as a direct reference for test generation, to eliminate need for intermediate and fallible human translation. Sadly, specs today are not an infallible source of truth for multiple reasons. I am grateful to Shelly Henry (CEO of MooresLab)… Read More
Further on the theme of what jobs will AI displace or radically change, I have been thinking about Walmart’s recent announcement with OpenAI, to enable customers to buy products directly within ChatGPT. Seems far removed from any care-abouts in electronic design but bear with me. We’ve been hearing about sizeable layoffs at Amazon,… Read More
Daniel is joined by Fabrizio Del Maffeo, CEO and co-founder of Axelera AI, a Netherlands-based startup delivering the world’s most powerful and advanced solutions for AI at the edge.
Fabrizio describes the significant momentum Axelera AI has achieved in the market, with over 350 customers. Dan then explores the company’s… Read More
Bug localization continues to be a challenge for both bug triage and root-cause analysis. Agentic approaches suggest a way forward. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and lecturer at Stanford, EE292A) and I continue our series on research ideas.… Read More
There is always a lot of buzz about advanced AI workloads at trade shows. How to train them and how to run them. Advanced chip and multi-die designs are how AI is brought to life, so it was a perfect fit for discussion at a show. But there is another side of this discussion. Much of the work going on in AI workloads has to do with processing… Read More
In this episode of the Semiconductor Insiders video series, Dan is joined by Antun Domic, who discusses Mach42’s work on AI and analog verification. Antun covers many aspects of analog/AMS verification and how Mach42’s unique AI-fueled approach provides significant benefits. He explains the balance of speed … Read More
The semiconductor industry is entering a transformative era, and few trends are generating more discussion or confusion than Agentic AI. From autonomous design exploration to next-generation verification strategies, Agentic AI promises dramatic changes in how chips are conceived, validated, and delivered. But as with … Read More
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Intel: Pushing EMIB Forward: Design Methodology Insights with Synopsys Tools