Building an AI agent that works in semiconductor and PCB design requires solving problems that generic agentic frameworks were never designed to handle.
While direct-to-chip and immersion are leading alternatives for high-density racks, 80% of data hall square footage still requires precision air control — which is where modular CRAH and edge air plat
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yasp benchmarked three models with distinct computational profiles — RegNet, DeepSeekV3 MLA and a MiniGPT Block — on Azure’s AMD Radeon PRO V710 GPU against torch.compile on an Nvidia A10. yasp.compil
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