OpenAI's first custom inference chip Jalapeño beats commercial systems in efficiency
firstadopter · x · 2026-08-25
OpenAI released the first measured performance results for Jalapeño, its custom inference chip. On the InferenceX benchmark using GPT‑OSS 120B, Jalapeño delivered higher peak throughput per kilowatt and lower token latency than commercial systems. It also performed strongly on DeepSeek R1 and Kimi K2, showing cross-family adaptability. OpenAI highlights this as an example of Jevons paradox: greater efficiency expands consumption and creates new economic activity.
More from Infra
- Analyst: 80% of neoclouds may not survive, but the demand for their GPU capacity is real — BenBajarin · 2026-10-16
- Apple and Meta partner to run Muse Spark model on linked Mac Studios — pdamodaran · 2026-10-16
- Nvidia's developer base hits 11 million, up ~3.7x from 3 million in 2021 — Beth_Kindig · 2026-10-16
- Muse Spark Open runs locally on a Mac M3 Ultra via llama.cpp: frontier model on desktop — pcuenq · 2026-10-16
- Muse-Spark open-weights drop: 816B-A42B MoE model gets 359GB MLX 3-bit build — ns123abc · 2026-10-16
- Meta launches Muse Spark Open, says it runs on two M5 Ultra Mac Studios with Apple's help — The Verge AI · 2026-10-16