OpenAI Unveils Jalapeño Chip
OpenAI reveals Jalapeño, its custom AI inference chip, demonstrating industry-leading performance and signaling a move towards greater infrastructure control.
6 min read

Visual TL;DR
custom AI inference chip demonstrating industry-leading performance and infrastructure control
From the article 3 mentionsOpenAI has publicly shared performance results for Jalapeño, its proprietary custom inference chip.
outperforming commercial systems on InferenceX with GPT-OSS 120B model
From the article 4 mentionsIt delivered superior peak throughput per kilowatt and lower token latency.
From the article 4 mentionsDeveloping in-house silicon like Jalapeño grants OpenAI more direct control over model execution and the economics of serving AI models.
From the article 2 mentionsThe full stack approach aims to enhance AI progress by ensuring improvements across data centers, chips, models, developer platforms, and consumer products.
each layer strengthens the next, creating a powerful synergistic effect
From the article 2 mentionsThis creates a compounding advantage where each layer strengthens the next.
custom AI inference chip demonstrating industry-leading performance and infrastructure control
From the article 3 mentionsOpenAI has publicly shared performance results for Jalapeño, its proprietary custom inference chip.
building a full stack approach from data centers to consumer products
From the article 5 mentionsThis marks a significant step in the company's strategy to build an integrated AI system from the ground up.
outperforming commercial systems on InferenceX with GPT-OSS 120B model
From the article 4 mentionsIt delivered superior peak throughput per kilowatt and lower token latency.
From the article 4 mentionsDeveloping in-house silicon like Jalapeño grants OpenAI more direct control over model execution and the economics of serving AI models.
From the article 2 mentionsThe full stack approach aims to enhance AI progress by ensuring improvements across data centers, chips, models, developer platforms, and consumer products.
From the articlePerformance gains were also observed on other model families, including DeepSeek R1 and Kimi K2, indicating broad applicability.
each layer strengthens the next, creating a powerful synergistic effect
From the article 2 mentionsThis creates a compounding advantage where each layer strengthens the next.
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