d-Matrix stands out in the AI compute platform sector by specifically targeting the energy and cost challenges of large-scale AI inference with their in-memory computing (IMC) techniques and chiplet level interconnects. Their approach has led to a more efficient integration of memory and compute resources, which is critical for the demanding workloads of generative AI and large language models. By offering a scalable solution that adapts to various model sizes, d-Matrix provides a sustainable and economically viable platform for companies facing the growing energy demands of AI technologies.