tag: agentic AI

AI In Chip Design: Lots Of Promise, Plenty Of Unanswered Questions
By Ed Sperling - 15 Jul, 2026 - Comments: 0

Key Takeaways: AI opens the door to exploring a much larger solution space, similar to what high-level synthesis did years ago, but questions persist about the impact of increasing reliance on what is essentially a black-box chip design. There is no consistent answer to how successful AI will be, where it will succeed or fail, or how it will apply to different markets and EDA customers.... » read more

Innovation First, AI Second: Lessons From SSN And The Future Of Test
By Marc Hutner - 13 Jul, 2026 - Comments: 0

By Marc Hutner and Ron Press Artificial Intelligence is rapidly becoming pervasive in society and across semiconductor development processes. We have to be careful not to apply AI to solve optimizations and challenges of existing methods but pair with engineering innovation for evolutionary results. One example is the application of scan test data in multi-core designs. AI can optimize the d... » read more

The Architecture Decisions Behind A Production-Ready EDA AI Agent
By Emma-Jane Crozier - 09 Jul, 2026 - Comments: 0

The conversation about agentic AI in semiconductor and PCB design tends to focus on capability: what the agent can do, how much time it saves, and which parts of the workflow it can automate. That is a reasonable place to start, but that is not where the hard engineering happens. Organizations are now asking whether AI agents can take on meaningful portions of the workflow, not as assistants th... » read more

From Host Node To Heterogeneous Rack: Rethinking The AI CPU
By Satadal Bhattacharjee - 09 Jul, 2026 - Comments: 0

AI infrastructure is entering a crucial new phase. The first phase of generative AI infrastructure was defined by accelerator scale: how many GPUs, NPUs or custom AI accelerators could be deployed, powered, cooled and connected. That phase is not over, but it is no longer sufficient. The next phase is about rack-scale system composition: heterogeneous AI racks where different compute resourc... » read more

A Self-Evolving Agent Framework That Treats Hardware Design as Repository-Level Code Evolution (Nvidia Research)
By Technical Paper Link - 30 Jun, 2026 - Comments: 0

A new technical paper, Agentic Hardware Design as Repository-Level Code Evolution, was published by researchers at Nvidia Research. Abstract "We present HORIZON, a self-evolving agent framework that treats hardware design as repository-level code evolution. A Markdown harness is compiled into a project pack containing domain knowledge, an executable evaluator, an acceptance predicate, and... » read more

Verification Methodologies Struggle To Keep Up With AI
By Brian Bailey - 25 Jun, 2026 - Comments: 0

Key Takeaways:  The rapid development of AI has resulted in new capabilities being provided to verification teams, beyond their ability to rationally insert them into accepted methodologies.  There is a lot of uncertainty about who will benefit the most from this technology. Is AI a junior engineer replacement or an enhancer?  The biggest benefits will come when AI helps engineers... » read more

Executive Outlook: Agentic AI’s Impact On Chip Design
By Ed Sperling - 25 Jun, 2026 - Comments: 1

Key Takeaways: Agentic AI has the potential to make engineers more productive, speed time to market, and automate some of the drudge work. The big challenge for design and verification engineers is where and whether they trust AI to get everything right, because there is no margin for error in semiconductors. Having humans in the loop will likely be the rule rather than the exception... » read more

Introducing An Agentic LLM For Chip Design
By Tanay Biradar - 25 Jun, 2026 - Comments: 0

By Tanay Biradar, Surya Gunukula, Tengxiao Liu, and Kexun Zhang ChipAgents has introduced Renoir, an agentic large language model (LLM) whose name means "renew." In early chip design benchmarks, Renoir outperforms the base model it was trained on and cuts costs by more than half. Furthermore, it can run entirely on-premises, allowing semiconductor companies to develop faster without compromi... » read more

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

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

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