OpenAI Details Jalapeño Inference Chip Test Results
OpenAI posted early test results for its first custom inference chip and plans deployment by year-end.
OpenAI shared early test results for Jalapeño, its first custom inference chip. The company reported higher throughput and lower latency with better intelligence per watt. OpenAI stated it plans to begin deploying the chip in its compute infrastructure by year-end as the first step in a multigenerational roadmap. Replies on X praised the efficiency gains while others questioned the benchmarks and flagged potential software lock-in risks.
Combined views
2.1M
20 posts, first seen 14h ago
Reactions
19 postsZE 
Zephyr@zephyr_z9HOLY SHEEET I don't think anyone can beat this chip at perf/Watt or perf/$ Congrats @itsclivetime @thehiphopswami
- likes: 1.1K
- replies: 34
- bookmarks: 341
- reposts: 78
ZE CH Chubby♨️@kimmonismusNgl, this is actually bigger than „another“ model release. This chup looks really damn good for inference
- likes: 58
- replies: 2
- bookmarks: 5
- reposts: 1
GB Gavin Baker@GavinSBakerImpressive that Jalapeño outperforms the comparable TPU and is in the mix with Rubin. Credit where credit is due - first good ASIC outside of TPU/Trainium. However, will likely significantly underperform a disaggregated GPU/Trainum plus SRAM accelerator setup. Especially with…
- likes: 1.5K
- replies: 84
- bookmarks: 355
- reposts: 55
LF Liam Fedus@LiamFedusData centers are power-limited and OpenAI's Jalapeño sets new frontiers for tokens per second per watt. Impressive and fast work from OpenAI's ASIC program.
- likes: 101
- replies: 5
- bookmarks: 12
- reposts: 2
YJ You Jiacheng@YouJiachengNo MTP, No PD disaggregation, Pure TP, still beats NVIDIA's Vera Rubin NVL72 on a third-party model, with A0 stepping. And B0 is 25% better. NVIDIA GPUs become HBM wrappers.
- likes: 130
- replies: 3
- bookmarks: 44
- reposts: 14
