From Nvidia's Flaws to OpenAI Jalapeño: A Deep Dive into Redesigning Inference Chips
thehiphopswami · x · 2026-08-30
This article provides a deep dive into the architectural flaws of Nvidia GPUs in inference scenarios, such as E2E latency bottlenecks and KVCache costs. Starting from first principles, it proposes a design philosophy for inference-native chips, detailing the Core Slice architecture, memory subsystem, on-chip network, and software stack. It also conceptualizes a chip named "OpenAI Jalapeño," compares it with traditional GPGPU architectures, and outlines the future roadmap of AI infrastructure.
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