OpenAI Launches First Custom Inference Chip "Jalapeño": Partnering with Broadcom to Take on NVIDIA

OpenAI recently officially announced the launch of its first custom AI inference chip "Jalapeño", designed by Broadcom and manufactured using TSMC's 3nm advanced process, specifically optimized for large model inference scenarios, expected to significantly reduce operational costs.

According to OpenAI, the "Jalapeño" chip has been deeply optimized for Transformer architecture in terms of inference performance, supporting higher parallel throughput and lower latency, while offering better power consumption control compared to existing GPU solutions. Initial tests show that under the same workload, overall TCO (Total Cost of Ownership) could see a reduction of 40%-50%.

This product launch is seen as a key move by OpenAI in the AI hardware space. Currently, mainstream AI training and inference remain heavily reliant on NVIDIA GPUs, and the introduction of "Jalapeño" signals OpenAI's attempt to build a more independent computing ecosystem.

Industry analysts point out that this step will accelerate the diversification of AI infrastructure. Broadcom, as the primary partner, is responsible for chip architecture and IP licensing, while TSMC provides advanced process support. In the future, OpenAI may further increase the proportion of self-developed chips to address cost pressures from surging computing demands.

However, in the short term, NVIDIA will continue to dominate the high-end training segment. "Jalapeño" primarily targets the inference stage, with limited impact on the training market. The market generally views this as a long-term strategic signal from OpenAI rather than an immediate replacement of the existing supply chain.

From a technical perspective, the increased transistor density from the 3nm process allows "Jalapeño" to integrate more AI acceleration units in a smaller area while reducing energy consumption per operation. This is particularly critical for cloud service providers deploying at scale.

Overall, OpenAI's chip self-development plan will have a profound impact on the entire AI industry. In the coming years, similar customized solutions may become mainstream, driving synergistic optimization between hardware and models.