When Qualcomm Redefines “Inference”: A Shift from Chip Specifications to System Architecture

2025-10-28T21:29:14+08:00October 28th, 2025|Categories: Global Business Dynamics, Strategic Tech and Market Signals|Tags: , , , , , |

Executive Summary Qualcomm is once again entering the AI chip arena, but the Cloud AI 200 and AI 250 are not simple upgrades to its previous inference cards. They mark a deeper transformation in architectural language. At the core of this shift is Disaggregated Inferencing, a design approach that separates the inference process into two parts: the Prefill stage and the Decode stage. Each module is optimized for different bottlenecks in capacity and bandwidth, redefining

AI Chip Market Evolution Part 1: Cloud AI Training and Inference

2025-08-30T12:59:50+08:00February 18th, 2025|Categories: Future Scenarios and Design, Strategic Tech and Market Signals|Tags: , , , , , , , , , |

Executive Summary The AI chip market is undergoing significant transformations, which can be understood through two key dimensions: deployment environments (cloud vs. edge) and market segments (training vs. inference). Cloud-based training currently dominates the market and is expected to maintain strong growth in the future. Training is critical for AI model development, requiring immense computational power to process vast amounts of data, which is why it is primarily concentrated in cloud data centers. NVIDIA is

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