---
title: "💢💢💢"
type: "Topics"
locale: "zh-HK"
url: "https://longbridge.com/zh-HK/topics/39719090.md"
description: "🔥🎯$NVIDIA(NVDA.US) $2 Billion Bet on $Marvell Technology(MRVL.US): This isn't an investment; it's rewriting the rules of the game for the AI &#34;connectivity layer.&#34; This isn't &#34;good news for a certain sector,&#34; but rather—the dimension of competition has already changed. On April 1st, $NVIDIA(NVDA.US) officially announced a $2 billion investment in $Marvell Technology(MRVL.US), with the core focus on two things: joint R&amp;D of silicon photonics custom XPUs. The market's reaction was also direct: $Marvell Technology(MRVL.US) surged 13% in a single day, while $NVIDIA(NVDA.US) rose about 5% in sync. And more crucially, this is not an isolated event..."
datetime: "2026-04-03T14:56:26.000Z"
locales:
  - [en](https://longbridge.com/en/topics/39719090.md)
  - [zh-CN](https://longbridge.com/zh-CN/topics/39719090.md)
  - [zh-HK](https://longbridge.com/zh-HK/topics/39719090.md)
author: "[辰逸](https://longbridge.com/zh-HK/profiles/16318663.md)"
---

> 支持的語言: [English](https://longbridge.com/en/topics/39719090.md) | [简体中文](https://longbridge.com/zh-CN/topics/39719090.md)


# 💢💢💢

🔥🎯$NVIDIA(NVDA.US)'s $2 Billion Bet on $Marvell Tech(MRVL.US): This Isn't an Investment, It's Rewriting the Rules of the AI "Connectivity Layer"

This isn't "good news for a certain sector," but rather—the dimension of competition has changed.

On April 1st, $NVIDIA(NVDA.US) officially announced a $2 billion investment in $Marvell Tech(MRVL.US), primarily targeting two areas:

Silicon Photonics  
Custom XPU Joint Development

The market's reaction was also direct:

$Marvell Tech(MRVL.US) surged 13% in a single day  
$NVIDIA(NVDA.US) rose approximately 5% in sync

What's more critical is that this isn't an isolated event.

Previous investments in $Lumentum(LITE.US) and $Coherent Corp.(COHR.US) have already shown—

NVIDIA is systematically building a major position in "optical interconnect."

Behind this lies a more fundamental judgment:

The bottleneck for AI has shifted from "computing power" to "connectivity."

When cluster scale enters the hundred-thousand-card level, what truly limits performance is no longer the GPU itself, but:

Whether data can flow.

That's why I see this investment as an "ecosystem-level move."

The first signal: Silicon photonics has received the strongest endorsement.

$Marvell Tech(MRVL.US)'s value isn't just its chips, but its combined capabilities across several key areas:

Data center network chips  
Optical communication DSP  
Silicon photonics technology accumulation

This means it sits at the "core path of data flow."

And once this path becomes a bottleneck, its value will be amplified.

The market's prediction that silicon photonics will reach 60% share by 2030 isn't the key point.

The key is—

NVIDIA has already started locking in this standard ahead of time.

The second signal: CPO (Co-Packaged Optics) moves from concept to a timeline.

On the same day, $Taiwan Semiconductor(TSM.US)'s silicon photonics platform began mass production.

The significance of this lies in:

Demand side (NVIDIA) + supply side (TSMC) starting simultaneously.

This usually means one thing:

The industrialization window has been opened early.

CPO isn't the future; it's on a countdown.

Implementation begins in 2026  
Mass shipments begin in 2027

This timeline is faster than the market originally expected.

The third signal: AI competition enters the "full-stack stage."

Competition in the past was simple:

Whose GPU was stronger.

Now it becomes:

Compute + Network + Connectivity + Software Ecosystem

What $Marvell Tech(MRVL.US) provides isn't a single-point capability, but:

XPU + Network + Interconnect solutions compatible with NVLink

This signifies a change:

Optical modules are no longer accessories, but the core of the system.

Whoever can "connect the GPUs into a whole" will have the real advantage.

This is the essence of the competition upgrade.

Looking further down the industry chain, the logic becomes even clearer.

First layer: Silicon photonics itself (technology premium manifests first)

This is the most directly benefited link.

Second layer: CPO packaging and testing

Because once mass production begins, the real bottlenecks are manufacturing and yield rates.

Third layer: Optical modules and DSP

This is the part with the most certain performance outlook currently.

Fourth layer: Communication infrastructure

In the long term, computing power will move from the center to the edge.

This line will materialize later.

But what I'm more concerned about isn't "which companies will rise."

It's a more fundamental question:

After AI enters system-level competition,

Is the market still only looking at GPUs?

Or has it already started repricing "who can actually make the computing power run"?

Are you more inclined to continue betting on the most core computing power,

Or start laying out these connectivity layers that are determining efficiency and the upper limit?

### 相關股票

- [Marvell Tech (MRVL.US)](https://longbridge.com/zh-HK/quote/MRVL.US.md)
- [NVIDIA (NVDA.US)](https://longbridge.com/zh-HK/quote/NVDA.US.md)
- [Lumentum (LITE.US)](https://longbridge.com/zh-HK/quote/LITE.US.md)
- [Coherent Corp. (COHR.US)](https://longbridge.com/zh-HK/quote/COHR.US.md)
- [GraniteShares 2x Long NVDA Daily ETF (NVDL.US)](https://longbridge.com/zh-HK/quote/NVDL.US.md)
- [XL2CSOPNVDA (07788.HK)](https://longbridge.com/zh-HK/quote/07788.HK.md)
- [XI2CSOPNVDA (07388.HK)](https://longbridge.com/zh-HK/quote/07388.HK.md)
- [YieldMax NVDA Option Income Strategy ETF (NVDY.US)](https://longbridge.com/zh-HK/quote/NVDY.US.md)
- [Direxion Daily NVDA Bear 1X ETF (NVDD.US)](https://longbridge.com/zh-HK/quote/NVDD.US.md)
- [T-Rex 2X Long NVIDIA Daily Target ETF (NVDX.US)](https://longbridge.com/zh-HK/quote/NVDX.US.md)
- [T-Rex 2X Inverse NVIDIA Daily Target ETF (NVDQ.US)](https://longbridge.com/zh-HK/quote/NVDQ.US.md)
- [Taiwan Semiconductor (TSM.US)](https://longbridge.com/zh-HK/quote/TSM.US.md)