OpenAI Jalapeño: Better than Nvidia Blackwell(newsletter.semianalysis.com)
577 points by bmulholland 16 days ago | 369 comments
tl;dr: OpenAI unveiled "Jalapeño," a Broadcom-partnered inference ASIC that reportedly beats Nvidia Blackwell (and matches/exceeds Rubin) on perf/watt across DeepSeek R1, Kimi K2.5, and GPT-OSS, achieved without speculative decoding or prefill-decode disaggregation. Key architectural choices include a unified chip pool, out-of-order cores with L1 cache, HBM4 at 15.4TB/s, MXFP systolic arrays, and a 2,048-XPU scale-up network using Broadcom Tomahawk 6 switches. Taped out in Nov 2025 with production ramping through 2027, the chip leans heavily on Codex-generated kernels via OpenAI's Gluon language, suggesting AI-assisted design is meaningfully compressing ASIC timelines.
HN Discussion:
  • Article reads like an OpenAI press release with contradictory sourcing claims
  • SemiAnalysis has credibility issues due to founder's alleged information trading practices
  • Hardware improvements will drive token prices down further, supporting the progress narrative
  • Curiosity about inference chip market evolution and eventual dominant players
  • ~Technical skepticism about specs like FP4 precision and die size claims in the table