Post by Dr Dishant Mahendru

AI infrastructure is becoming a bottleneck-by-bottleneck value chain. The obvious winners are accelerator platforms. The less obvious commercial opportunities sit around the constraints that determine whether those accelerators can be deployed economically: HBM, chiplets, advanced packaging, high-speed interconnect, PCIe Gen6 storage, liquid cooling, power delivery, rack telemetry and software-enabled utilisation. I have written a new article on where value may accrue in AI accelerators and specialised compute architectures across electronics and semiconductors. For senior leaders, this is now a portfolio and capital allocation question. Which layer can you credibly own? Which buyer pain point can you reduce? Which ecosystem do you need to attach to before specifications are locked? Where do you see the most defensible value over the next three years: memory, packaging, power, cooling, networking, edge inference or rack-scale integration? #Semiconductors #AIInfrastructure #AdvancedPackaging #Electronics #InnovationStrategy