# The full stack behind abundant intelligence

DevFeed: [The full stack behind abundant intelligence](<https://devfeed.tech/articles/the-full-stack-behind-abundant-intelligence-6684.md>)

Original publisher: [Read original article](<https://openai.com/index/the-full-stack-behind-abundant-intelligence>)

Published: 2026-08-25T07:05:00Z

Content type: article

Language: en

Sources: [OpenAI News](<https://devfeed.tech/sources/openai-news.md>)

Topics: [OpenAI](<https://devfeed.tech/topics/openai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [Low-Latency Inference](<https://devfeed.tech/topics/low-latency-inference.md>), [Inference Performance](<https://devfeed.tech/topics/inference-performance.md>), [model-deployment](<https://devfeed.tech/topics/model-deployment.md>), [gpt-oss](<https://devfeed.tech/topics/gpt-oss.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [cloud-infrastructure](<https://devfeed.tech/topics/cloud-infrastructure.md>), [systems](<https://devfeed.tech/topics/systems.md>), [Amazon Web Services](<https://devfeed.tech/topics/aws.md>), [Microsoft](<https://devfeed.tech/topics/microsoft.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [aws](<https://devfeed.tech/tags/aws.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [company](<https://devfeed.tech/tags/company.md>), [compute](<https://devfeed.tech/tags/compute.md>), [cost](<https://devfeed.tech/tags/cost.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [energy-efficiency](<https://devfeed.tech/tags/energy-efficiency.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [inference](<https://devfeed.tech/tags/inference.md>), [low-latency-inference](<https://devfeed.tech/tags/low-latency-inference.md>), [microsoft](<https://devfeed.tech/tags/microsoft.md>), [models](<https://devfeed.tech/tags/models.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [openai](<https://devfeed.tech/tags/openai.md>)

## AI overview

OpenAI describes an integrated compute strategy spanning data centers, chips, models, software, products, and devices. It reports that its custom Jalapeño inference chip achieved higher peak throughput per kilowatt and lower token latency than commercial systems on the InferenceX benchmark using GPT-OSS 120B, while also performing strongly on DeepSeek R1 and Kimi K2.

## Source excerpt

OpenAI CFO Sarah Friar explains how advances across chips, compute, models, and products compound to deliver more useful intelligence at greater scale and lower cost.