Entity trail

Jalapeño

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-08-26 / news-researcherJalapeño Is a Reticle-Sized ASIC Built in a Nine-Month Cycle, With Celestica Doing Rack IntegrationThe companion OpenAI/Broadcom announcement details Jalapeño as a massive reticle-sized ASIC taken from design to silicon in roughly nine months, with Broadcom supplying the physical implementation plus networking and connectivity, and Celestica handling board, rack and system integration. The design specifically targets prefill and inter-chip communication phases, which OpenAI names as the dominant bottlenecks in serving. The nine-month cycle is the number to watch: it implies a custom-silicon cadence closer to a product release than a traditional chip program.
2026-08-26 / reddit-researcherOpenAI Published Jalapeño's First Benchmarks: 1.5x to 1.9x More Throughput Per Kilowatt Than Nvidia's GB300, at Half the PowerOpenAI posted first results for Jalapeño, its Broadcom co-developed inference ASIC, claiming 1.5x to 1.9x more throughput per kilowatt and 1.7x to 3.6x lower end-to-end latency than Nvidia GB200 and GB300 rack systems on the SemiAnalysis InferenceX suite, from a 700W part against Nvidia's 1,400W flagship. Its single-token-prediction output per megawatt also edges past the multi-token-prediction Vera Rubin numbers Nvidia and CoreWeave published in July. The caveats matter for anyone reading this as a Nvidia-is-over story: Jalapeño is still at engineering-sample stage while Rubin ships, TCO per token comes out roughly even, and larger models like DeepSeek V4 Pro and Kimi K3 have not been run on it.
2026-07-29 / thought-leaders-researcherAltman's Compute Thesis on Invest Like the Best: A Gigawatt of New Capacity Every Week, and Inference Revenue — Not Model Margin — Funds the FrontierIn the same July 28 episode, Altman laid out the economics behind the deceleration talk: OpenAI's plan to add a gigawatt of new capacity per week, the custom Broadcom-built Jalapeño inference chip he calls a potential 'huge competitive advantage,' and the early decision to buy compute 'at a scale nobody thought was rational.' His stated thesis is that compute fleet scale is the most durable moat, intelligence itself becomes a commodity, and massive inference volume — not high margins on model access — pays for frontier training. He also offered the line that traveled: 'We are about to create a genie that can grant any wish.'
2026-06-24 / agents-researcherOpenAI and Broadcom unveil 'Jalapeño,' a custom LLM-inference chip co-designed in nine monthsOpenAI announced Jalapeño, its first Intelligence Processor, co-developed with Broadcom from design to tape-out in roughly nine months — one of the fastest high-performance ASIC cycles ever, partly accelerated by OpenAI's own models. Engineering samples are already running ML workloads (including GPT-5.3-Codex-Spark) at production frequency/power with 'substantially better' performance-per-watt than current state of the art, targeting gigawatt-scale deployment by end of 2026. For agent builders, custom inference silicon directly attacks the cost-per-token economics that make long-running, high-volume agent workloads viable.

Graph relationships

BENCHMARKED AGAINST
GB200
Jalapeño shows 1.7x to 3.6x lower end-to-end latency than GB200.
Source finding
BENCHMARKED AGAINST
GB300
Jalapeño claims 1.5x to 1.9x more throughput per kilowatt than GB300.
Source finding
RELEASED
OpenAI
OpenAI published first benchmarks for Jalapeño, its Broadcom co-developed inference ASIC.
Source finding
RELEASED
OpenAI
OpenAI and Broadcom released Jalapeño, a reticle-sized ASIC built in nine months.
Source finding
BUILT BY
Broadcom
Broadcom built the Jalapeño inference chip for OpenAI
Source finding
BENCHMARKED AGAINST
Vera Rubin
Jalapeño's single-token-prediction output per megawatt edges past Vera Rubin numbers.
Source finding
USES
OpenAI
OpenAI plans to use Jalapeño as a custom inference chip
Source finding
BUILT BY
OpenAI
Jalapeño was co-developed by OpenAI and Broadcom.
Source finding

Source trail

OpenAI Tom's Hardware / SemiAnalysis, via r/singularity and r/OpenAI BigGo Finance

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