Beyond GPU: In-Memory Computing Transforms AI Inference

The bottleneck in LLM inference isn't GPU compute power but memory bandwidth—GPU processing units sit idle over 95% of the time waiting for data. Processing-in-Memory (PIM) technology addresses this by integrating compute directly within memory, eliminating expensive data movement, and commercial products from SK Hynix and Samsung are already shipping. This shift signals not the end of the GPU era but a fundamental restructuring of AI inference architecture.