Breaking the Memory Wall: How d-Matrix Is Redefining AI Inference with Chiplets
By Maurizio Di Paolo Emilio, embedded.com | April 23, 2025
As AI workloads push the limits of performance, power efficiency, and memory bandwidth, chiplets are rapidly emerging as the architectural solution of choice. In this interview, Sree Ganesan, Vice President of Product at d-Matrix, dives deep into how its pioneering chiplet-based platform is revolutionizing AI inference. From solving the memory wall with Digital In-Memory Computing (DIMC) to enabling seamless multi-chiplet communication via custom interconnects, d-Matrix reveals how its innovations are unlocking 10x faster token generation, 3x better energy efficiency, and a scalable roadmap for generative AI.
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