An Interview with OpenAI's Richard Ho on Groundbreaking Jalapeño AI Chip (taekim.substack.com)

OpenAI has introduced its new Jalapeño AI inference chip at the Hot Chips conference, gaining significant praise for its performance and energy efficiency. Benchmarked against competitors like Nvidia’s Blackwell, Jalapeño excels in performance per watt while running various open-source models such as GPT-OSS and DeepSeek R1. Richard Ho, OpenAI's VP of Hardware, noted that this first-generation chip was designed from scratch to optimize for large language models (LLMs) without legacy constraints, allowing for improved energy efficiency and speed. The architecture of Jalapeño is particularly noteworthy for its innovative memory management system, which pairs dedicated High Bandwidth Memory (HBM) banks with processing cores, significantly enhancing data access speeds and efficiency. By allowing each of the 64 cores to interact directly with its own memory bank, Jalapeño minimizes the data movement overhead typical in traditional CPU and GPU designs. This approach not only increases throughput and lowers latency but also enables better utilization across various workloads in data centers. As AI models continue to grow and evolve, Jalapeño's specialized architecture positions it as a compelling solution for the future of AI hardware, promising to maintain its relevance as the industry progresses.