AI scalability will require full-stack co-optimization, not just bigger data centers. AI workloads require a 10X compute ...
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 ...
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 ...
At the recent Data Center World 2026 in Washington, D.C., one message came through louder than ever: AI infrastructure is ...
Expanding beyond traditional block-based SSD access with new command sets, broader media support, and improved transport ...
DSP adoption demonstrated that technical innovation alone is not enough. Three lessons remain particularly relevant for edge ...
This is what the software-defined vehicle looks like in practice. Fewer chips, more consolidation, and far more dependence on ...
A new technical paper, Agentic Hardware Design as Repository-Level Code Evolution, was published by researchers at Nvidia ...
AI data centers need power from a range of sources, including batteries, to safeguard against blackouts, transient voltage spikes, and grid demand spikes. As with regenerative braking and ...
Analog and mixed-signal test remains heavily specification-based because the measurements do not always produce a single expected result. The absence of objective coverage metrics has historically ...
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