Nvidia vs Broadcom: Which AI Stock Will Make You More Money

Tech giant Nvidia (NASDAQ:NVDA | NVDA Price Prediction) and Broadcom (NASDAQ:AVGO) both just reported blockbuster AI-driven quarters. Nvidia posted Q4 revenue of $68.13 billion, up 73.2% year-over-year, while Broadcom delivered Q1 FY2026 revenue of $19.31 billion, up 29.5% year-over-year. Both are winning the AI infrastructure buildout, but in very different ways.

GPUs Dominate One. Custom Silicon Drives the Other.

Nvidia’s quarter was defined by the Blackwell architecture. Data Center revenue reached $62.31 billion, up 75% year-over-year, with networking revenue alone surging 263% year-over-year to $10.98 billion as NVLink fabric scaled across GB200 and GB300 systems.

Broadcom’s story centers on custom AI accelerators and AI networking. AI chip revenue hit $8.40 billion in Q1, up 106% year-over-year and above the company’s own forecast.

CEO Hock Tan kept the tone equally confident: “Our AI revenue growth is accelerating, and we expect AI semiconductor revenue to be $10.7 billion in Q2.” The VMware software business added $6.796 billion in infrastructure software revenue, a recurring revenue cushion Nvidia does not have.

Platform Dominance vs. Hyperscaler Partnership

Nvidia sells GPUs broadly across cloud providers, enterprises, and sovereign AI programs. Its customer base spans Meta, Anthropic, OpenAI, AWS, Google Cloud, Microsoft Azure, and Oracle. That breadth is a structural advantage.

The risk is equally broad: Q1 FY2027 guidance of approximately $78 billion explicitly excludes any Data Center compute revenue from China, reflecting ongoing export control exposure.

Broadcom’s custom silicon strategy means designing chips specifically for hyperscaler workflows, similar to Google’s TPU approach. That creates stickier relationships but also concentration risk.

Broadcom’s long-term ambition is clear: Hock Tan has set a goal of exceeding $100 billion in AI sales by 2027. Nvidia already operates at a different altitude. Full-year FY2026 revenue reached $215.94 billion, up 65.5% year-over-year.

The Next Test Is Scale vs. Acceleration

For Nvidia, the forward question is whether Vera Rubin can sustain the cadence Blackwell set. Supply-related commitments totaled $95.2 billion in Q4, signaling strong demand confidence but real execution risk. Gaming faces supply constraints heading into Q1 FY2027, a secondary drag worth watching.

For Broadcom, the key question is whether the Q2 FY2026 AI revenue guidance of $10.7 billion holds or gets revised upward again. VMware integration appears stable but grew only 1% year-over-year last quarter. Software margins support overall profitability, though that segment is growing slowly right now.

Nvidia for Momentum, Broadcom for Durability

Both stocks are down year-to-date in 2026, with Broadcom off more. The analyst community remains bullish on both: 60 buy ratings and a $268.22 consensus target for Nvidia, and 48 buy ratings and a $471.55 consensus target for Broadcom. Neither is cheap on a trailing basis.

Nvidia represents the dominant platform across every AI workload, training and inference, cloud and enterprise. The scale is unmatched and the product roadmap through Vera Rubin looks durable.

Broadcom fits a different risk profile, offering measured AI exposure with software revenue as a floor. The custom silicon model is genuinely differentiated, and a 68% EBITDA margin is hard to argue with. The sheer velocity of Nvidia’s numbers makes it difficult to look away, and both names carry a credible case for inclusion in an AI-focused portfolio.