What is CUDA and why does it give NVIDIA such a durable competitive advantage?

CUDA definition: CUDA (Compute Unified Device Architecture) is NVIDIA's proprietary parallel computing platform and programming model; launched in 2006, CUDA provides software tools (libraries, compilers, debugging tools) that allow programmers to write programs that execute on NVIDIA GPUs using C++, Python, Fortran, and other languages; CUDA transforms NVIDIA GPUs from graphics-only devices into general-purpose parallel computing processors. Why CUDA matters for AI: deep learning — the technology underlying ChatGPT, Claude, and all modern AI — requires performing billions of mathematical operations simultaneously; GPUs (with thousands of parallel processing cores) are ideal for this; but to run AI training on GPUs, AI researchers must write code compatible with a GPU programming platform; NVIDIA trained the world's AI research community on CUDA starting in 2012 (when AlexNet demonstrated CUDA's utility for neural networks); the entire AI software ecosystem (PyTorch, TensorFlow, cuDNN) is built natively on CUDA. Switching cost: an AI company that has built its training infrastructure on NVIDIA CUDA over 5+ years faces significant switching costs to move to AMD ROCm, Intel oneAPI, or custom accelerators: software re-testing and debugging (AI model performance can change unpredictably with different hardware); retraining software engineers; potentially rewriting custom CUDA code that uses NVIDIA-specific features; the larger the AI model and the more custom software, the higher the switching cost. CUDA's network effect: because most AI researchers use CUDA, most AI libraries are optimized for CUDA; benchmark results and best practices are documented for CUDA; hiring AI researchers who know CUDA is easier than finding those who know alternatives; this network effect has compounded over 15+ years into one of the most durable software moats in technology.

How are ASML and NVIDIA connected in the semiconductor value chain?

The chip manufacturing value chain: semiconductor chips are designed by fabless companies (NVIDIA, AMD, Apple, Qualcomm) or integrated device manufacturers (Intel, Samsung); manufactured by foundries and IDMs (TSMC, Samsung Foundry, Intel Foundry); using equipment from semiconductor equipment companies (ASML, Applied Materials, Lam Research, KLA). ASML and NVIDIA relationship: NVIDIA designs its Blackwell, Hopper, and future GPU architectures as chip designs; NVIDIA does not manufacture chips — it uses TSMC as its primary foundry partner; TSMC manufactures NVIDIA chips using ASML EUV lithography machines at TSMC's most advanced nodes (N4P, N3B, future N2); without ASML EUV machines, TSMC could not manufacture NVIDIA's most advanced chips; ASML is therefore a critical supplier to NVIDIA, three levels upstream in the supply chain: NVIDIA designs → TSMC manufactures (using ASML machines) → systems integrators/cloud companies build AI servers (using NVIDIA GPUs). Investment implication: investors can access the AI/semiconductor supercycle through multiple points in the value chain: NVIDIA (chip designer capturing maximum value from AI demand); TSMC (foundry earning revenue from manufacturing); ASML (equipment supplier selling to TSMC); component suppliers (HBM memory from Micron/SK Hynix/Samsung, packaging from ASE/Amkor); each position has different risk/return profiles; ASML's position is more diversified (it supplies TSMC regardless of whether NVIDIA or Intel or Apple wins chip design market share) while NVIDIA's is higher risk/reward as the direct beneficiary of AI chip demand.

What are the export control restrictions affecting ASML and NVIDIA?

Why export controls matter: the U.S. government and allied governments (Netherlands, Japan) have implemented semiconductor export controls restricting shipments of advanced chips and semiconductor equipment to China; these controls reflect concerns that advanced chips (particularly AI GPUs) and advanced manufacturing equipment (particularly EUV lithography) could be used for Chinese military AI applications or to close the gap with Western chip technology. ASML's restrictions: the Netherlands government, coordinating with the U.S., has restricted ASML's ability to ship EUV machines to China; ASML has never shipped EUV machines to Chinese chipmakers (SMIC, Yangtze Memory); in 2023 and 2024, the Netherlands further restricted ASML's ability to ship some advanced DUV machines (ASML's previous-generation system) to China; these restrictions significantly limit what ASML can sell in China, reducing ASML's total addressable market. NVIDIA's restrictions: U.S. Bureau of Industry and Security (BIS) export control rules restrict NVIDIA from selling H100 and A100 AI GPU chips to Chinese customers; NVIDIA developed China-compliant versions (A800 and H800) with reduced specifications that fall below export control thresholds; subsequent rounds of export controls have further restricted which chips NVIDIA can sell to China; the restrictions significantly reduced NVIDIA's China data center revenue. Investment impact: both ASML and NVIDIA face ongoing export control headwinds in China; future expansion or tightening of these restrictions represents a significant known risk to both companies' revenue; investors should factor export control scenarios into their models for both companies as geopolitical tensions between the U.S. and China over semiconductor technology continue.

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ASML

ASML Holding N.V. · Technology - Semiconductor Equipment (EUV Lithography Monopoly)

$1,929.68

+32.22% this month

VERSUS

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COMPARE

NVDA

NVIDIA Corporation · Technology - AI Chips / Accelerated Computing (GPU Dominant)

$210.69

-4.50% this month

Scoreboard verdict

Across AI score, momentum, valuation, upside, operating margin

ASML

1

NVDA

4

NVDA LEADS 4/5

Comparison scoreboard

NVDA LEADS 4/5

AI Score

ASML 65.7

NVDA ✓86.0

1Y Return

ASML ✓+153.36%

NVDA +46.19%

Fwd P/E

ASML 40.20

NVDA ✓16.55

Target Up.

ASML -10.63%

NVDA ✓+41.88%

Op. Margin

ASML 36.02%

NVDA ✓65.60%

Metrics last refreshed: 6/22/2026

Quick take

ASML vs NVDA Stock Comparison: AI Score, Valuation, Performance and Upside

ASML (ASML Holding) and NVDA (NVIDIA) are both dominant players in the semiconductor industry with extraordinary monopoly-like competitive positions in their respective niches — ASML is the sole global supplier of EUV lithography machines essential for manufacturing all advanced chips, while NVIDIA dominates AI GPU chip design with 80%+ market share in data center AI training accelerators and the CUDA software ecosystem.

ASML vs NVDA is EUV lithography monopoly enabling all advanced chip manufacturing (ASML's irreplaceable position as the only EUV machine supplier for TSMC/Samsung/Intel, High-NA EUV roadmap extending the monopoly, and strategic geopolitical importance — China export restrictions and semiconductor capex cyclicality) versus AI GPU design dominance with software ecosystem moat (NVIDIA's 80%+ AI training GPU share, CUDA developer lock-in, and Blackwell architecture leadership — hyperscaler custom chip competition risk and valuation multiple compression sensitivity to AI spending deceleration).

Live analysis · updated 6/22/2026

NVDA holds the edge across 4 of 5 key metrics in this comparison. ASML has delivered stronger 1-year price return (+153.36% vs +46.19%), though NVDA trades at the lower forward P/E (16.55x vs 40.20x). NVDA leads on both revenue growth (85.20%) and operating margin (65.60%), suggesting a stronger fundamental setup on both dimensions. Analyst consensus implies meaningfully more upside for NVDA (+41.88%) than for ASML (-10.63%).

Normalized 1Y performance

ASML

NVDA

Recent returns

ASML

NVDA

Analyst price targets & sentiment

ASML · 12 analysts

STRONG BUYHOLDSTRONG SELL

Buy (1.8/5.0)

Price target range

analyst low$715.03
analyst mean$1,724.57
current price$1,929.68

-10.6% upside to analyst mean

NVDA · 58 analysts

STRONG BUYHOLDSTRONG SELL

Strong Buy (1.3/5.0)

Price target range

analyst low$180.00
analyst high$500.00
analyst mean$298.93
current price$210.69

+41.9% upside to analyst mean

Who should consider this stock?

ASML may suit investors who:

→Want absolute monopoly exposure to semiconductor equipment with 30+ years of technological leadership in EUV lithography that no competitor has been able to replicate
→Value ASML's strategic role in the entire semiconductor ecosystem — all advanced chips (from NVIDIA GPUs to Apple A-series to AMD CPUs) require ASML EUV equipment, making ASML's monopoly broader than any single chip designer
→Prefer a more moderate valuation compared to NVIDIA while maintaining exposure to the AI-driven semiconductor capex supercycle through the equipment supplier that enables advanced chip manufacturing

NVDA may suit investors who:

→Want maximum exposure to the artificial intelligence revolution through the dominant AI chip platform that powers LLM training at Google, Microsoft, Amazon, Meta, and thousands of AI startups
→Believe NVIDIA's CUDA software ecosystem creates durable switching costs that will maintain NVIDIA's GPU dominance even as AMD and hyperscaler custom chips attempt to compete
→Accept NVIDIA's premium valuation in exchange for the highest growth trajectory among large-cap semiconductor companies during the AI infrastructure investment supercycle

Performance & AI score

Metric	ASML	NVDA
AI score	65.7	86.0
AI rank	#60	#2
Latest close	$1,929.68	$210.69
1M return	+32.22%	-4.50%
6M return	+90.04%	+23.25%
1Y return	+153.36%	+46.19%

$10,000 invested — hypothetical growth (dividends reinvested)

How much would $10,000 be worth today if invested at the start of each period, with all dividends reinvested?

Period	ASML	NVDA
1Y ago	$25.34K (+153.4%) started 2025-06-18	$14.48K (+44.8%) started 2025-06-18
5Y ago	$28.76K (+187.6%) started 2021-06-18	$114.8K (+1048.0%) started 2021-06-21
10Y ago	$199.24K (+1892.4%) started 2016-06-20	$1.84M (+18277.9%) started 2016-06-20

Hypothetical — past performance does not guarantee future results.

Valuation & upside potential

Metric	ASML	NVDA
Market cap	$743.73B	$5.1T
Trailing P/E	64.11	32.26
Forward P/E	40.20	16.55
Price/Sales	9.64	23.66
EV/Revenue	1226.11	19.95
Analyst target	$1,724.57	$298.93
Target upside	-10.63%	+41.88%

Growth, profitability & risk

Metric	ASML	NVDA
Revenue growth	13.20%	85.20%
Earnings growth	19.20%	214.50%
EPS growth	+19.20%	+214.50%
FCF margin	+24.47%	+18.28%
Operating margin	36.02%	65.60%
Profit margin	29.71%	62.97%
ROIC proxy	52.24%	114.29%
Return on equity	52.24%	114.29%
Dividend yield	0.46%	0.47%
Beta	1.40	2.20
Debt/equity	12.99	6.55
Current ratio	1.36	3.44
Quick ratio	0.69	2.14

Drawdown & downside risk

Lower drawdown and smaller single-period drops generally indicate a smoother ride, though they do not guarantee lower future risk.

1Y risk snapshot

ASML max drawdown17.85%

NVDA max drawdown20.22%

ASML max wkly drop14.28%

NVDA max wkly drop10.72%

5Y risk snapshot

ASML max drawdown57.37%

NVDA max drawdown66.34%

ASML max wkly drop19.20%

NVDA max wkly drop22.20%

10Y risk snapshot

ASML max drawdown57.37%

NVDA max drawdown66.34%

ASML max wkly drop25.42%

NVDA max wkly drop28.36%

Performance metrics by period

Period	Metric	ASML	NVDA
1Y	Growth	+153.36%	+44.82%
	CAGR	+153.52%	+44.90%
	Sharpe ratio	2.28	1.10
	Max drawdown	17.85%	20.22%
	Max daily drop	8.33%	6.20%
	Max wkly drop	14.28%	10.72%
5Y	Growth	+187.55%	+1045.71%
	CAGR	+23.53%	+62.98%
	Sharpe ratio	0.61	1.12
	Max drawdown	57.37%	66.34%
	Max daily drop	16.26%	16.97%
	Max wkly drop	19.20%	22.20%
10Y	Growth	+1892.44%	+17945.12%
	CAGR	+34.90%	+68.18%
	Sharpe ratio	0.85	1.20
	Max drawdown	57.37%	66.34%
	Max daily drop	17.35%	18.76%
	Max wkly drop	25.42%	28.36%

Business comparison

Category	ASML	NVDA
Company	ASML Holding N.V.	NVIDIA Corporation
Sector	Technology	Technology
Industry	Semiconductor Equipment & Materials	Semiconductors
Core business	ASML Holding is a Dutch semiconductor equipment company with a global monopoly on extreme ultraviolet (EUV) lithography machines — the critical equipment used by the world's leading chip manufacturers (TSMC, Samsung, Intel Foundry) to pattern the most advanced semiconductor chips at 7nm, 5nm, 3nm, and smaller nodes. ASML's EUV machines are among the most complex machines ever built — each EUV system weighs approximately 180 metric tons, contains over 100,000 parts sourced from hundreds of specialized suppliers worldwide, and costs approximately $150-380 million per machine (ASML's next-generation 'High-NA EUV' systems cost approximately $380 million each). ASML's machine supply chain was decades in development; no competitor has been able to replicate it. ASML also sells DUV (deep ultraviolet) lithography machines for less advanced semiconductor nodes, though EUV represents an increasing share of revenue.	NVIDIA is the dominant designer of graphics processing units (GPUs) and AI accelerators — the chips that power artificial intelligence training, inference, and accelerated computing across data centers, scientific research, and increasingly autonomous vehicles. NVIDIA's GPU architecture (originally developed for computer graphics and gaming) proved uniquely suited to the massively parallel mathematical computations required for deep learning; NVIDIA's H100 and next-generation Blackwell GPU architectures have become the standard platform for training large language models (LLMs) like GPT-4, Gemini, and Claude. NVIDIA designs chips but does not manufacture them — NVIDIA is a fabless semiconductor company that uses TSMC as its primary manufacturing partner. NVIDIA also sells the CUDA programming platform (which runs on NVIDIA GPUs) as a software ecosystem that creates switching costs for AI researchers and developers.
Investor focus	Investors track ASML's EUV shipment volumes and backlog (representing committed future demand), High-NA EUV adoption by leading chip manufacturers, and the overall semiconductor capex cycle driving equipment demand from TSMC, Samsung, and Intel.	Investors track NVIDIA's data center revenue growth (the primary driver of NVIDIA's explosive growth — driven by AI chip demand from hyperscalers), GPU orders and backlog from cloud companies (Microsoft, Amazon, Google, Meta), and potential competition from custom AI chip development by large customers.

ASML strengths

→Absolute monopoly on EUV lithography — no other company produces EUV systems at commercial scale; TSMC, Samsung, and Intel Foundry all require ASML EUV machines to manufacture the most advanced chips; this monopoly position is protected by ASML's 30+ years of EUV development, patent portfolio, and supply chain that took decades to assemble
→Next-generation 'High-NA EUV' machines extend ASML's monopoly into the next chip generation — High-NA EUV (high numerical aperture) enables patterning at 2nm and below; ASML is already shipping these $380M systems to Intel and TSMC; no competitor is even close to matching High-NA EUV capability
→Government strategic importance provides regulatory and financial support — EUV lithography is so strategically important that the Netherlands government (through the Dutch semiconductor ecosystem), the U.S. government, and the European Union all support ASML's market position; export controls on ASML EUV machines to China reflect their geopolitical importance

NVDA strengths

→AI GPU market dominance with estimated 80%+ market share in data center AI training chips — NVIDIA's H100 and A100 GPUs are the standard platform for large language model training; the scale of NVIDIA's software ecosystem (CUDA) and hardware install base creates enormous switching costs for AI companies who have built their workflows around NVIDIA
→CUDA software ecosystem locks in AI researchers and developers — NVIDIA's CUDA programming platform has been the dominant GPU programming environment since 2006; hundreds of thousands of AI researchers and thousands of AI companies have built their entire AI workflow on CUDA; switching to an alternative GPU (AMD ROCm, Intel oneAPI, custom TPUs) requires significant software re-engineering; this creates a software-driven network effect moat
→Blackwell platform demonstrates continued technology leadership in AI chip generation — NVIDIA's Blackwell GPU architecture (B100, B200, GB200) provides dramatically improved performance per dollar for AI inference; staying two generations ahead of AMD and custom chip alternatives maintains NVIDIA's price premium and market share

Risks to watch — ASML

→China export restrictions reduce a significant ASML revenue opportunity — China has been a major buyer of ASML's DUV (non-EUV) systems; U.S. and European export control restrictions on advanced lithography equipment to China limit ASML's access to what would be an enormous market; ASML cannot ship EUV (or now, some advanced DUV) systems to Chinese customers
→Semiconductor equipment capex cycles create lumpy revenue — semiconductor manufacturers make large capital equipment investments in cycles; during down cycles (when chip demand is weak), capex spending falls and ASML's new equipment orders decline; ASML's backlog provides some buffer but revenue is cyclical
→Lead times of 18-24 months per machine limit near-term revenue acceleration — ASML's machines require 18-24 months to build after ordering; even with very strong demand, ASML's capacity to ship machines limits near-term revenue growth

Risks to watch — NVDA

→Hyperscaler custom AI chip development threatens NVIDIA's market share — Google (TPU v5), Amazon (Trainium, Inferentia), Microsoft (Maia), and Meta all have custom AI chip programs designed to reduce NVIDIA GPU dependency; as custom chips mature, hyperscalers may shift a growing share of AI workloads away from NVIDIA GPUs
→NVIDIA's valuation reflects extraordinary growth expectations that require sustained AI capex growth — NVIDIA trades at extremely high P/E and EV/Sales multiples; if AI capex growth decelerates (if ROI on LLM investments disappoints large customers), NVIDIA's revenue trajectory and stock valuation could compress significantly
→Export controls on advanced AI chips to China reduce NVIDIA's market — U.S. export controls limit NVIDIA's ability to sell H100 and A100 chips to Chinese customers; NVIDIA sells China-compliant versions (A800, H800) but these restrictions limit a large potential market

Frequently asked questions

Lithography basics: semiconductor lithography is the process of printing circuit patterns onto silicon wafers — a precisely controlled light source shines through a patterned mask onto a photosensitive coating on the wafer; the pattern is replicated in the coating, which is then chemically etched to create circuit features; the wavelength of light determines the smallest feature that can be printed (shorter wavelength = smaller features = more powerful chips). EUV vs DUV: previous-generation deep ultraviolet (DUV) lithography uses 193nm ArF laser light; shrinking further with DUV requires multiple patterning passes (printing the same layer multiple times), which is slow and expensive; extreme ultraviolet (EUV) lithography uses 13.5nm wavelength light — 14x shorter than DUV — enabling single-pass patterning of much smaller features; EUV is essential for chips below approximately 7nm (TSMC N5, N3, N2 nodes). Why ASML alone: ASML developed EUV technology over approximately 30 years starting in the 1990s; generating EUV light requires creating a plasma by firing high-powered CO2 lasers at tiny tin droplets 50,000 times per second, generating 13.5nm radiation captured by a specialized optical system; the EUV optics use specialized mirrors coated to near-atomic perfection (rougher than a few atomic layers would degrade image quality unacceptably); the supply chain for EUV components involves hundreds of specialized suppliers; ASML coordinates this enormously complex supply chain that competitors would need decades and billions to replicate; CARL ZEISS SMT (the lens maker) is an exclusive ASML partner for EUV optics, blocked from supplying competitors.

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