Mark Roussin, CPA 对 $MRVL 的判断变化

2026-09-20看涨
《If You Missed NVDA... Don't Miss These 2 Stocks》
MRVL 凭借定制 AI 芯片具备强劲增长轨迹,股价有望在年底前达到 325 美元。

不过,让我们转向第二只我仍然认为前方有巨大增长轨迹的股票,那就是 Marvell Technology,其股票代码是 MRVL。对于 Marvell,我们面对的是一种与 AMD 完全不同的人工智能投资。

AMD 在人工智能计算领域竞争。与此同时,Marvell 越来越多地利用另一样东西:定制 AI 芯片和网络。

However, let's move on to the second stock that I still believe has a tremendous growth trajectory ahead of it, which is Marvel Technology, and its stock symbol is MRVL. With Marvel, we are facing a completely different investment in artificial intelligence compared to AMD.

AMD competes in the field of artificial intelligence computing. Meanwhile, Marvel is increasingly leveraging something else: custom AI chips and networks.

2026-08-25看涨
《The Stock Market Is About to Get a Major JOLT》
Marvell通过定制硅和网络受益于AI基础设施支出;英伟达的财报可能对其前景产生积极影响。

另一组值得考虑的公司是博通和迈威尔。事实上,迈威尔本周晚些时候也会公布财报。这些公司更为复杂,因为博通和迈威尔受益于AI支出,但它们也代表了英伟达最大的长期威胁之一。为什么?定制芯片。

谷歌、Meta、OpenAI和其他超大规模企业越来越希望拥有针对自身工作负载专门设计的AI加速器。博通和迈威尔帮助实现这些芯片。因此,如果英伟达表示整体AI基础设施支出持续激增,这对博通和迈威尔都是利好。

但如果黄仁勋开始讨论定制加速器带来的竞争压力,这对这两家公司来说也是一个重要的积极信号。这就是为什么我同时持有两边的敞口。我持有英伟达、AMD,以及博通和迈威尔,但仓位大小各不相同。

英伟达受益于通用加速计算,而博通和迈威尔则受益于超大规模企业越来越多地设计专用芯片。我不需要完美预测哪种架构会胜出。

Another set of companies to consider looking at is going to be Broadcom and Marvell. And in fact, Marvell also reports this week, later in the week. These companies are more nuanced because Broadcom and Marvell benefit from AI spending, but it also represents one of Nvidia's biggest long-term threats.

Why? Custom silicon. Google, Meta, OpenAI, other hyperscalers, these companies increasingly want AI accelerators designed specifically for their own workloads. Broadcom and Marvell help enable those chips.

So, if Nvidia says overall AI infrastructure spending continues exploding, that's great for both Broadcom and Marvell. But if Jensen starts discussing competitive pressures from custom accelerators, that's another important positive signal for both of these companies.

This is why I own exposure to both sides of the equation. I own Nvidia, AMD, and then Broadcom and Marvell, but position sizing is different for all of them. Nvidia benefits from general-purpose accelerated computing.

Broadcom and Marvell benefits as hyperscalers increasingly design specialized silicon. I don't need to perfectly predict which architecture wins.