Episode 61 of The Hardware Podcast with Fexingo dives into in-memory computing, a paradigm shift that runs computations directly inside memory cells to break the von Neumann bottleneck. Lucas and Luna explore the physics behind analog compute-in-memory using resistive RAM (RRAM) crossbar arrays, and contrast it with digital near-memory processing. They discuss why this matters for AI inference on edge devices, citing a concrete example: a startup called Mythic that shipped analog compute-in-memory chips in 2022, achieving 10x energy efficiency over traditional digital accelerators. The hosts also touch on Samsung's 2021 paper demonstrating in-memory computing on an MRAM bank, and the current challenges around precision and noise. No prior chip design knowledge required.

#InMemoryComputing #ComputeInMemory #AnalogComputing #RRAM #MRAM #Mythic #Samsung #VonNeumannBottleneck #AIInference #EdgeAI #ChipDesign #Hardware #Semiconductors #Technology #FexingoBusiness #BusinessPodcast #TheHardwarePodcast #ChipRevolution

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