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Is Broadcom Stock a Buy?

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While Nvidia has been the biggest semiconductor stock winner from the artificial intelligence (AI) infrastructure buildout, Broadcom (NASDAQ: AVGO) could be poised to be the next big winner in the space. The stock is trading up about 47% on the year as of this writing, but down about 12% from its recent highs.

Let’s dig into Broadcom’s AI opportunity and whether now is a good time to buy the stock.

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Broadcom participates in the AI infrastructure buildout in two primary ways. The first is through its networking portfolio, where it provides such components as switches and NICs (network interface cards). Switches are used for communication between two or more devices, while NICs provide network connections.

The company contends that as AI clusters grow in size, there will be distributed computing challenges, and networking will become an increasingly more important piece of the infrastructure buildout. The reason is that it will cause a distributed computing challenge that needs to be solved. Currently, there are competing switching technologies in the space trying to solve this issue.

While Intel has a switching technology called Omni-Path, the two most prevalent switching technologies are Nvidia’s InfiniBand, which it acquired with its acquisition of Mellanox, and Ethernet. Broadcom is at the forefront of advanced Ethernet switching. The company believes all hyperscalers will be using the technology by the first half of 2025, as it thinks the technology is superior in handling AI workloads and transferring data between GPUs.

Thus far, different cloud computing companies have preferred employing different technologies, with Microsoft opting for InfiniBand while Amazon has leaned more into Ethernet. Nonetheless, the market appears to be large enough for multiple winners, with Broadcom seeing its Ethernet switching revenue quadruple in the third quarter.

The bigger opportunity for Broadcom, however, is helping customers develop custom chips (application-specific integrated circuits, or ASICs) for their AI workloads. For its part, the company argues that custom ASICs are superior to Nvidia’s mass merchant graphics processing units (GPUs) in a hyperscale cloud environment, although that certainly does not show up in the two companies’ revenue numbers.

That said, there is certainly a place for custom AI silicon, and a number of companies are working with Broadcom to develop custom chips designed for specific computing and power needs.

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