Is Nvidia or AMD a better AI chip stock?

Nvidia is the clear leader with a data center business 13 times larger than AMD's and faster growth, but AMD offers higher potential upside from a lower base.

Which stock fell more in the semiconductor sell-off?

Nvidia trades about 16% below its 52-week high, while AMD is only about 8% below its high, indicating AMD held up better in the sell-off.

Should I buy AMD instead of Nvidia?

It depends on your risk tolerance. Nvidia offers proven leadership and stronger financials, while AMD may appeal to investors seeking higher risk-adjusted upside from a smaller base.

NVDA vs AMD: Which AI Chip Stock Is the Better Buy in 2026?

Q: How much larger is Nvidia's data center business than AMD's?

Nvidia's data center business is about 13 times the size of AMD's entire data center segment, based on the latest reported figures.

Q: What were Nvidia's latest quarterly results?

In fiscal Q1 2027, Nvidia reported $81.6 billion in revenue (up 85% YoY), $75.2 billion in data center revenue (up 92% YoY), and adjusted EPS of $1.87 (up 140% YoY).

#NVDA vs AMD: Which AI Chip Stock Is the Better Buy in 2026?

Nvidia dominates AI chip revenue—its data center business alone is about 13 times the size of AMD's entire data center segment. But AMD is narrowing the gap with new hardware and major customer wins. This comparison breaks down the key differences, financials, valuations, and risks so you can decide which stock fits your portfolio.

Key Takeaways

Nvidia's data center revenue grew 92% YoY to $75.2B in fiscal Q1 2027, while total revenue hit $81.6B (+85% YoY).
AMD has introduced new AI hardware and landed major customers, but its data center revenue is still a fraction of Nvidia's.
After the semiconductor sell-off, Nvidia trades ~16% below its 52-week high, while AMD is only ~8% below its high.
Nvidia's CUDA ecosystem remains a key competitive moat, but AMD offers potential upside from a lower base.

#What Are the Key Differences Between Nvidia and AMD in AI Chips?

The core difference is scale and ecosystem. Nvidia's data center business—the heart of the AI story—generated $75.2 billion in the latest quarter, which is roughly 13 times larger than AMD's entire data center segment. Nvidia also benefits from its CUDA software ecosystem, a deep moat that locks in developers and AI workloads.

#How does Nvidia's data center business compare to AMD's?

Nvidia's data center revenue reached $75.2 billion in fiscal Q1 2027, up 92% year over year. AMD's exact data center revenue is not disclosed in the source data, but the company is described as growing its server business at an impressive pace and landing major customers. The gap remains large: Nvidia's data center alone is about 13 times the size of AMD's entire data center segment.

#What AI hardware has each company recently launched?

Nvidia continues to lead with its latest AI accelerators and full-stack solutions. AMD has introduced new AI hardware—such as its Instinct accelerators—and secured major customers, narrowing the gap. However, Nvidia's CUDA ecosystem remains a significant advantage, making it harder for competitors to displace Nvidia in existing AI workflows.

#How Do Nvidia and AMD Financials Compare in 2026?

Nvidia's latest quarterly results show staggering growth for a company its size. Revenue rose 85% year over year to $81.6 billion, and data center revenue climbed 92% to $75.2 billion. Adjusted earnings climbed 140% to $1.87 per share. AMD's specific financials are not provided in the source data, but the company is described as growing its server business at an impressive pace.

#What were Nvidia's latest quarterly results?

In fiscal Q1 2027 (ended April 26, 2026), Nvidia reported:

Revenue: $81.6 billion, up 85% year over year
Data center revenue: $75.2 billion, up 92% year over year
Adjusted earnings per share: $1.87, up 140% year over year

#How does AMD's growth rate compare to Nvidia's?

AMD's exact growth rate is not disclosed in the source data. However, the sources note that AMD is growing its server business at an impressive pace and has landed major customers. Meanwhile, Nvidia's growth rate is not slowing—the company guided for continued strength. Based on available numbers, Nvidia is growing faster in absolute terms, but AMD's lower base could allow for higher percentage growth if it executes well.

#Which Stock Offers Better Value After the Semiconductor Sell-Off?

The sell-off in semiconductor stocks has been brutal, erasing more than $1 trillion in chip-stock value in a single session in early June. As of the source writing, Nvidia trades around $199, about 16% below its 52-week high. AMD, at about $520, has held up better and sits within roughly 8% of its own high. This suggests AMD has been more resilient in the downturn, but valuation metrics are not provided in the source data.

#How far have NVDA and AMD fallen from their highs?

Nvidia: trades around $199, about 16% below its 52-week high
AMD: trades around $520, within roughly 8% of its 52-week high

#What valuation metrics should investors compare?

The source data does not include P/E or PEG ratios for either stock. Investors should compare current valuation multiples using up-to-date market data. Nvidia's market cap is $5.3 trillion, while AMD's market cap is not specified. Given Nvidia's faster growth and dominant position, its premium valuation may be justified, but AMD's lower drawdown could appeal to value-oriented investors.

#What Are the Risks and Opportunities for Each AI Chip Stock?

Nvidia faces execution risks and increasing competition from AMD and custom silicon (such as in-house AI chips from hyperscalers). AMD's opportunity lies in gaining market share in AI accelerators and expanding its server business. Both stocks are exposed to semiconductor cycle volatility and shifts in AI capital expenditure trends.

#What risks does Nvidia face despite its dominance?

High expectations: Nvidia's stock is priced for continued hypergrowth; any slowdown could trigger a sharp correction.
Competition: AMD is closing the gap with new hardware, and major cloud providers are developing custom AI chips.
Ecosystem lock-in: While CUDA is a moat, it could also limit Nvidia's flexibility if the industry shifts toward open standards.

#What opportunities could drive AMD's growth?

Market share gains: AMD's new AI accelerators and customer wins position it to capture a larger slice of the AI chip market.
Server business expansion: AMD's server CPU and GPU segments are growing rapidly.
Lower base effect: As a smaller company, AMD could deliver higher percentage growth if it executes well.

#Should Investors Buy AMD Instead of Nvidia?

The decision hinges on whether you prioritize proven leadership or potential upside. Nvidia is the clear AI leader with stronger financials and ecosystem lock-in. AMD is smaller and could grow faster off a lower base, but current numbers show Nvidia growing faster in absolute terms. For most investors, Nvidia remains the stronger long-term opportunity due to its dominant AI position, but AMD may appeal to those seeking higher risk-adjusted upside.

#What factors favor Nvidia as the better buy?

Dominant market share in AI chips
85% revenue growth and 92% data center growth in the latest quarter
CUDA ecosystem creates high switching costs
Proven execution at massive scale

#What factors favor AMD for higher growth potential?

Smaller base allows for potentially faster percentage growth
New AI hardware and major customer wins
Less demanding valuation after the sell-off (based on drawdown from highs)
Opportunity to gain share in a rapidly expanding AI market

#Bottom Line: NVDA vs AMD

Nvidia remains the AI chip leader with unmatched scale and growth, while AMD is a credible challenger with improving hardware and customer traction. The better buy depends on your risk tolerance and investment horizon. Nvidia offers proven leadership and ecosystem strength; AMD offers a higher-risk, potentially higher-reward alternative. Neither stock is risk-free, and both are subject to semiconductor cycle volatility.