The AI chip race is not just a one-horse race led by Nvidia (NVDA).
As hyperscalers like Google ( GOOG , GOOGL ), Meta ( META ), and Microsoft ( MSFT ) race to lower the eye-watering costs of running large AI models, Broadcom ( AVGO ) is opening a second front in the custom silicon wars as its primary architect.
“Broadcom is projected to maintain its leadership as the premier AI server compute ASIC design partner with a 60% market share in 2027,” according to a recent report by Counterpoint Research.
This dominance is underpinned by a symbiotic relationship with the world’s most advanced foundry, Taiwan Semiconductor Manufacturing Company (TSM), which is the “dominant foundry of choice…” with nearly 99% wafer fabrication share for AI server compute and ASIC shipments among top 10 players.
This shift indicates that the industry is moving beyond Nvidia’s expensive, all-purpose GPUs. While Nvidia offers a powerful all-purpose AI tool, tech giants are increasingly designing their own application-specific integrated circuits (ASICS) to suit their unique workloads.
Broadcom thrives here by acting as a bridge, turning these internal corporate blueprints into functional hardware. Hitchhiking its wagon to domestic capital spending by the world’s wealthiest companies, Broadcom has seen its stock rise nearly 55% over the past year.
The cost savings incentive for these veterans is huge. Goldman Sachs analyst James Schneider noted that the Google-Broadcom TPU (Tensor Processing Unit) is quickly closing the performance gap with Nvidia, estimating a 70% reduction in “cost-per-token” as the technology evolves from TPU v6 to v7.
In a world where AI inference costs can seriously impact balance sheets, that efficiency is a powerful gravitational pull toward custom silicon. Google famously trained its Gemini 3 entirely on its TPUs.
However, the custom chip boom is not a rising tide that lifts all boats equally. Marvell Technologies ( MRVL ), often cited as Broadcom’s primary challenger, is currently navigating “design win headwinds.” Counterpoint’s analysis suggests Marvel’s design services share could slide to 8% by 2027, even as its total shipment volume increases.
Goldman Sachs remains neutral with a $90 price target on Marvell, with the company’s fortunes tied to the Amazon Terenium program, which has faced its own performance hurdles and is often seen as playing catch-up on Nvidia’s chips.
While some on Wall Street, including Raymond James analyst Simon Leopold, remain bullish on Marvel as a long-term “share gainer,” the immediate data supports Broadcom’s grip on high-volume contracts. The firm issued a strong buy rating on Marvell with a $121 price target, while giving Broadcom a $420 target.
Then there’s the TSMC factor. As the industry’s indispensable builder, TSMC has a unique monopoly. Whether the company chooses an Nvidia GPU or a Broadcom-designed ASIC, the chips are almost certainly being forged in TSMC’s fabs. Furthermore, as individual chips hit their physical size limits, TSMC’s advanced packaging — stacking chips to increase power — means it gets more value out of every high-end AI chip produced, regardless of the logo on the box.
The primary risk for this custom group remains “time to market,” per Goldman Sachs. Schneider warns that while custom chips are cheaper, Nvidia’s CUDA software “remains a major gap for enterprise customers” who need to use AI now, not in two years.
For now, the market is big enough for both strategies, though only time will tell if one outsells the other.
“We continue to prioritize Broadcom and Nvidia within the compute ecosystem, as we see them as associated with the most sustainable elements of AI CapEx and the biggest beneficiaries of advances in networking technologies,” Schneider said.
Francisco Velasquez He is a reporter at Yahoo Finance. Follow him LinkedIn, Xand Instagram. Story suggestions? Email him at francisco.velasquez@yahooinc.com.
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