
AI applications place extraordinary demands on the hardware used to accelerate their underlying algorithms. AI requires high-performance chip designs that combine hardware and software in a balanced manner. All aspects of the silicon design must meet the power, performance, and area (PPA) requirements for the end product. The complexity of AI chip designs often causes them to break the reticle limit, necessitating the use of multi-die or chiplet-based approaches through the use of advanced packaging. The rapid development pace and competitive nature of the AI market add further stress to the time-to-market (TTM) or proof of concept (PoC) schedule constraints.
Download this whitepaper and explore how advanced silicon design, RTL verification, AI-driven implementation, and multi-die packaging are accelerating next-generation AI chip development.
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