Redesigning the Inference Chip: From Nvidia GPU's Flaws to OpenAI Jalapeño Architecture
akbirthko · x · 2026-08-31
This article provides a deep dive into inference chip architecture, critiquing Nvidia GPUs' shortcomings in LLM inference scenarios from a first-principles perspective. It proposes a "Core Slice" design philosophy, analyzing performance requirements of different inference phases and the cost of KVCache. The author envisions the "OpenAI Jalapeño" inference chip architecture, detailing core slices, memory subsystems, on-chip networks, and the software stack, concluding with a comparison against traditional GPGPU architectures.
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