There are many applications that push the limits of compute resources, from smartphones and self-driving cars to high performance computing (HPC) and massive data centers. In recent years, artificial intelligence (AI) has threatened to eclipse or subsume all other application domains as the dominant consumer of computational power. Although AI algorithms can run on just about any processor, they run most efficiently on specialized engines that move some of the key algorithms from software to hardware. Designing an AI chip is a major undertaking, requiring specialized knowledge, tools, and methodology at every stage of the process. Figure 1 shows the development flow for AI chips and the major steps within the flow. This white paper discusses the second key stage: silicon design and advanced packaging.