---
title: "Nvidia spends $6.5B on photonics to fix AI's copper bottleneck"
url: https://daily.dev/posts/nvidia-spends-6-5b-on-photonics-to-fix-ai-s-copper-bottleneck-yzy6gq220
source_url: https://thenextweb.com/news/nvidia-photonics-investment-copper-bottleneck-ai-data-centre
type: article
source: "The Next Web"
published: 2026-05-29T07:35:21.902Z
updated: 2026-05-29T07:35:47.784Z
tags: ["nvidia", "ai-infrastructure"]
reading_time: 5
upvotes: 0
comments: 0
language: en
---

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# Nvidia spends $6.5B on photonics to fix AI's copper bottleneck

**[The Next Web](https://daily.dev/sources/tnw)** · 5 min read · 0 upvotes · 0 comments

## Summary

Nvidia has invested at least $6.5 billion in photonics companies since March 2026, targeting Coherent, Lumentum, Marvell, Corning, and Ayar Labs. The strategy aims to replace copper interconnects with light-based alternatives as AI training clusters scale beyond copper's physical bandwidth limits. Key deals include $2 billion each in Coherent, Lumentum, and Marvell, up to $3.2 billion in Corning (which will expand US manufacturing tenfold), and participation in Ayar Labs' $500M Series E alongside AMD and MediaTek. Nvidia's purchase commitments may effectively lock up global high-end laser component supply through 2027, squeezing competitors. The investments are tied directly to supplying Nvidia's next-gen Vera Rubin platform, which already uses optical interconnects between racks, and reflect a broader $40B+ AI equity investment strategy in 2026.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenextweb.com/news/nvidia-photonics-investment-copper-bottleneck-ai-data-centre>

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Tags: [#nvidia](https://daily.dev/tags/nvidia), [#ai-infrastructure](https://daily.dev/tags/ai-infrastructure)

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