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Special Report
Broadcom Hits $2 Trillion Market Cap as Google Reveals New AI ChipsAuthor: Leo Miller. Date Posted: 4/28/2026. 
Key Points
- Broadcom's market capitalization momentarily rose above $2 trillion, driven up by a recent announcement from Google.
- Google's next-generation TPU includes two separate chips, confirming past statements made by Broadcom.
- See the benefits that two-chip deployments can bring to the semiconductor giant.
- Special Report: The Biggest IPO Ever: Claim Your Stake Today
As Broadcom (NASDAQ: AVGO) has surged to new all-time highs, it has a key partner to thank: Google parent company Alphabet (NASDAQ: GOOGL). On April 22 the semiconductor giant closed at a then-record near $422, briefly pushing Broadcom’s market capitalization above $2 trillion.
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The move followed Google's announcement of a new artificial intelligence (AI) chip; Broadcom, one of Google's top suppliers, rose about 5% that day, though shares have since pulled back slightly. Google’s announcement validates Broadcom’s prior predictions and suggests the partnership between the companies is strengthening. Google’s 8th Gen TPU: 2 Chips Instead of 1Google has co-developed its tensor processing units (TPUs) with Broadcom for about a decade. It recently unveiled the eighth generation, but with a key distinction this time. The eighth generation will feature two chips, not one, each specialized for different use cases. This marks a significant shift: most prior TPU generations consisted of a single chip. Google describes TPU 8t as a “training powerhouse,” while TPU 8i will act as a “reasoning engine” for latency-sensitive inference workloads. The announcement aligns closely with comments Broadcom CEO Hock Tan made during the company's last earnings call in early March, when he said customers will “start to develop two chips each year simultaneously, one for training, one for inference to be specialized.” For Broadcom, that validation is a meaningful win for several reasons. Why Google’s 2-Chip Roadmap Benefits BroadcomFirst, by splitting the TPU into two chips, Broadcom stands to benefit as AI adoption grows—particularly from increased inference workloads, where models answer questions and perform tasks. A dedicated inference chip in TPU 8i lets Google scale those workloads more efficiently. Google says TPU 8i delivers 80% better performance per dollar versus the seventh-generation TPU, enabling businesses to serve nearly twice the inference volume at the same cost. Lower inference costs should raise demand for inference workloads—and for the chips that power them—which is positive for Broadcom. Specialized two-chip designs also elevate Broadcom's hardware role. While software can tweak single-chip performance, hardware-level optimization yields far greater gains. Google's two-chip approach therefore plays to Broadcom’s strengths and could let the company capture more value per design. Developing two distinct chips is more work—and likely more lucrative—so Broadcom should command higher design fees and generate additional revenue from the chip-design process. Finally, Google’s announcement is another confirmation of Hock Tan’s thesis. Meta Platforms (NASDAQ: META), another Broadcom customer, announced its custom chip roadmap in mid-March titled “Four MTIA [Meta Training and Inference Accelerator] Chips in Two Years: Scaling AI Experiences for Billions.” That roadmap also signals a two-chip cadence, and with both Google and Meta corroborating, Broadcom’s position gains credibility. Broadcom says it sees this two-chips-per-year approach across five customers. With Google and Meta confirming the trend, confidence that the others will follow increases—potentially spreading these benefits across Broadcom’s hyperscaler customer base. Broadcom Soars as Hyperscaler Earnings ApproachCustomers are deepening ties with Broadcom. As investors recognize the company’s central role in the AI buildout, shares have moved to record levels. Despite the rally, Broadcom trades at a lower forward price-to-earnings (P/E) ratio than in the recent past. If earnings expectations align with the stock’s valuation, the company has a better chance of holding gains or moving higher. A slowdown in hyperscaler AI spending remains a risk, though it hasn't materialized yet. Upcoming earnings from several Magnificent Seven companies should provide more clarity on their spending plans. |
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