Breaking Through AI Inference Bottlenecks: MSquare Technology’s Cutting-Edge Solutions

MSquare Technology believes that Universal Chiplet Interconnect Express (UCIe) will become the de facto standard for chiplets.

Since the rise of large language model (LLM) applications, the core competitiveness of AI chips has gradually shifted from focusing solely on single-chip computing power to emphasizing memory performance and system-level integration. MSquare Technology, as a leading provider of silicon IP and chiplet solutions, is dedicated to addressing the challenges of chip interconnectivity and vertical integration in the AI era.

Although large models significantly increase the demand for memory access and interconnects, and these demands are quite fragmented across different stages of model operation (with substantial differences in computing, memory access, and interconnect requirements), GPUs, which balance these needs, will remain the mainstay of AI computing for a considerable time. This is because large models still require memory-intensive, compute-intensive, and strong interconnect capabilities. Also, the deep coupling of computing hardware and software ecosystems has resulted in Nvidia’s dominance in this field, creating an asymmetric competition for its rivals.

However, many companies are seeking more optimal solutions to reduce the future costs of AI inference. The evolution from a CPU-dominated era to the current CPU+GPU era represents a deconstruction of computing. In the future, the underlying systems of AI will continue to deconstruct further, potentially evolving into CPU+GPU+XPU configurations.

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