Ethernet auto-negotiation; multiphysics to avoid overdesign; PCB design reuse; mobile LLM quantization; modeling BSPDNs.
In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...
“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 ...
At the recent Data Center World 2026 in Washington, D.C., one message came through louder than ever: AI infrastructure is ...
ChipAgents has introduced Renoir, an agentic large language model (LLM) whose name means “renew.” In early chip design ...
We nod at it, we put it on slides, and we move on. But the goalposts keep moving. Things that used to live comfortably at the ...
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 ...
In Part 1, we looked at the innovations underpinning the Cerebras WSE-3 and why its most significant breakthrough is the elimination of data movement overhead at the architectural ...
A designer’s choice of I/O connectors and interconnect protocols can be the difference between a massively profitable AI chip and a flop. I/O tradeoffs impact airflow, cooling, rack design, power ...
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