Thursday, June 25, 2026
EN·DarkSubscribe
AI Infrastructure · News & Analysis
HomeChips & HardwareReport
Chips & Hardware · Report

OpenAI and Broadcom unveiled Jalapeño, a custom AI inference chip designed for gigawatt-scale data centers from 2026

Major alternative to Nvidia entering inference segment enables cost-efficient LLM inference and reshapes silicon architecture decisions across the industry
Trade pressSlicast · June 25, 2026 · US · Source: Google News
importance 90

OpenAI and Broadcom have jointly unveiled Jalapeño, a custom AI inference chip purpose-built for gigawatt-scale data center deployments. The chip represents a move toward proprietary silicon designed specifically for the inference workloads powering production AI services at scale.

The partnership signals a strategic pivot toward custom silicon solutions for managing the compute and power demands of large AI infrastructure. Rather than relying solely on general-purpose GPUs, OpenAI and Broadcom's collaboration targets the architectural requirements of massive data centers, where inference efficiency and thermal management at gigawatt scale become critical economic and operational factors.

Jalapeño is expected to begin deployment in data centers from 2026 onward, marking a concrete shift in the AI hardware market away from off-the-shelf accelerators toward specialized inference silicon. The move reflects broader industry trends of hyperscalers investing in custom silicon to reduce per-inference costs and optimize energy efficiency as AI workloads become increasingly demanding at scale.

Read the original
OpenAI and Broadcom unveiled Jalapeño, a… · Slicast