---
title: "Why everyone from OpenAI to SpaceX is building their own chips (and turning up the heat on Nvidia)"
slug: "why-everyone-from-openai-to-spacex-is-building-their-own-chips-and-turning-up-the-heat-on-nvidia"
date: 2026-06-26
category: tech-pub
tags: [openai, google, apple, nvidia]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/why-everyone-from-openai-to-spacex-is-building-their-own-chips-and-turning-up-the-heat-on-nvidia
---

# Why everyone from OpenAI to SpaceX is building their own chips (and turning up the heat on Nvidia)

**Published**: 2026-06-26 | **Category**: tech-pub | **Sources**: 1

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## TL;DR

- Nvidia still dominates AI accelerators, but its biggest customers are trying to reduce full dependence on one supplier.

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## Summary

- Nvidia still dominates AI accelerators, but its biggest customers are trying to reduce full dependence on one supplier.
- OpenAI is working with Broadcom on Jalapeño, a custom inference chip aimed at cheaper, more controlled model deployment.
- Google, Apple, and SpaceX show the same pattern: custom silicon is becoming a hedge against shortages, pricing power, and strategic lock-in.
- This is not an overnight break from Nvidia. It is a portfolio move: specialized chips for predictable workloads, Nvidia for flexibility and peak performance.

---

## Why it matters

Nvidia still dominates AI accelerators, but its biggest customers are trying to reduce full dependence on one supplier.

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## Key Points

- Nvidia still dominates AI accelerators, but its biggest customers are trying to reduce full dependence on one supplier.
- OpenAI is working with Broadcom on Jalapeño, a custom inference chip aimed at cheaper, more controlled model deployment.
- Google, Apple, and SpaceX show the same pattern: custom silicon is becoming a hedge against shortages, pricing power, and strategic lock-in.
- This is not an overnight break from Nvidia. It is a portfolio move: specialized chips for predictable workloads, Nvidia for flexibility and peak performance.

---

## Nauti's Take

The interesting part is not that Nvidia suddenly looks weak. The interesting part is that AI companies have learned a hard lesson: if you build models but buy compute like a commodity utility, you give up too much control. Custom chips are expensive, slow, and risky, but at sufficient scale they become almost unavoidable. The PR frames this as revolution; in practice, it is a fight over leverage and margins.

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## FAQ

**Q:** What is Why everyone from OpenAI to SpaceX is building their own chips (and turning up the heat on Nvidia) about?

**A:** - Nvidia still dominates AI accelerators, but its biggest customers are trying to reduce full dependence on one supplier.

**Q:** Why does it matter?

**A:** Nvidia still dominates AI accelerators, but its biggest customers are trying to reduce full dependence on one supplier.

**Q:** What are the key takeaways?

**A:** Nvidia still dominates AI accelerators, but its biggest customers are trying to reduce full dependence on one supplier.. OpenAI is working with Broadcom on Jalapeño, a custom inference chip aimed at cheaper, more controlled model deployment.. Google, Apple, and SpaceX show the same pattern: custom silicon is becoming a hedge against shortages, pricing power, and strategic lock-in.

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## Related Topics

- [openai](https://news.ainauten.com/en/tag/openai)
- [google](https://news.ainauten.com/en/tag/google)
- [apple](https://news.ainauten.com/en/tag/apple)
- [nvidia](https://news.ainauten.com/en/tag/nvidia)

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## Sources

- [Why everyone from OpenAI to SpaceX is building their own chips (and turning up the heat on Nvidia)](https://techcrunch.com/video/why-everyone-from-openai-to-spacex-is-building-their-own-chips-and-turning-up-the-heat-on-nvidia/) - TechCrunch AI

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-06-27*
