Custom Silicon

Tracking the rise of custom ASICs from hyperscalers including Google TPU, AWS Trainium, Microsoft Maia, and the broader vertical integration trend.

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Foundry Economics AI Accelerators Memory & HBM Advanced Packaging Supply Chain China & Geopolitics Custom Silicon Market Dynamics

The Inference Accelerator Wars: Why Cost-Per-Token Is Now the Defining Metric in AI Silicon

OpenAI's Jalapeño ASIC and the broader custom inference push are reshaping GPU vs ASIC economics. This analysis breaks down total cost of ownership, cost-per-token dynamics, and what the custom silicon wave means for enterprise AI infrastructure strategy.

The AI infrastructure battleground has shifted from training throughput to inference unit economics. OpenAI's Jalapeño — a custom inference accelerator built with Broadcom — is not primarily a competitive strike against NVIDIA; it is a structural bet that owning inference silicon is the only way to make gigawatt-scale LLM deployment economically sustainable. Enterprise buyers who treat GPU procurement as their only inference lever are already behind the curve.

Jul 9, 2026

AI AcceleratorsAdvanced Packaging

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