NVIDIA faces a paradox that most investors are missing: the company is growing revenue faster than almost any tech giant in history, yet it cannot build chips quickly enough to meet demand. CEO Jensen Huang told investors that NVIDIA's current supply covers only 70% of customer requests heading into fiscal 2028, a constraint that analysts argue could actually accelerate stock gains rather than limit them.

The numbers are staggering. NVIDIA reported fiscal Q2 2027 revenue of $96.22 billion, up 105.85% year-over-year, with data center revenue hitting $89.02 billion and climbing 117% annually. For context, that kind of growth rate is rare even among fast-growing software companies, let alone a hardware manufacturer. The company's latest guidance projects fiscal 2028 revenue growth of approximately 70%, which management explicitly described as supply-constrained, meaning the actual demand is even higher.

Wall Street is taking notice. Financial analysts at 24/7 Wall St. have set a 12-month price target of $308.85 for NVIDIA stock, implying 36.55% upside from the September 8, 2026 price of $226.18. The recommendation carries 90% confidence, with the bull case pointing as high as $352.95. This projection assumes NVIDIA continues executing on its next-generation Vera Rubin chip ramp and that hyperscaler capital expenditure holds steady at projected levels.

What's Driving NVIDIA's Supply Shortage?

The shortage stems from a fundamental mismatch between manufacturing capacity and customer appetite. NVIDIA's supply commitments have swelled to $279 billion, largely tied up in memory for Vera Rubin production, which ties up cash and extends the company's days sales outstanding from 45 to 60 days. Meanwhile, the top five hyperscalers (cloud giants like Amazon, Google, and Microsoft) are projected to spend nearly $800 billion on AI infrastructure in 2026 and $1.3 trillion in 2027, creating an insatiable appetite for NVIDIA's processors.

The Vera Rubin chip represents a significant revenue opportunity. According to analyst projections, Vera Rubin generates $40 billion in revenue potential per gigawatt of computing power, compared to $25 billion for the previous-generation Blackwell architecture. This higher revenue density means that even as NVIDIA ramps production, the economics of newer chips improve, supporting margin expansion once supply normalizes.

How Does NVIDIA's Competitive Position Compare?

NVIDIA faces competition from Advanced Micro Devices (AMD) and Broadcom, but the company's platform breadth gives it a defensible moat. AMD posted Q2 2026 revenue of $11.54 billion with data center revenue up 107%, yet trades at a trailing price-to-earnings ratio of 180 compared to NVIDIA's 46. On a growth-adjusted valuation basis, NVIDIA actually looks cheaper despite its higher absolute stock price.

Broadcom represents a narrower competitive threat. The company's Q3 AI semiconductor revenue reached $16.70 billion, up 221% year-over-year, with Q4 guided to $21.7 billion. While Broadcom's growth rate is comparable to NVIDIA's, its opportunity is customer-specific and concentrated, whereas NVIDIA's platform serves a broader ecosystem of AI cloud providers, researchers, and enterprise customers.

Key Factors Supporting NVIDIA's Growth Trajectory

• Supply Constraint as Advantage: With demand exceeding supply by 30%, NVIDIA can maintain pricing power and prioritize the highest-margin customers, supporting gross margins that are expected to bottom at 71% to 72% in Q4 before re-expanding as Vera Rubin volumes normalize.
• Hyperscaler Capital Intensity: Top-five hyperscaler capex is projected at $1.3 trillion in 2027, a 62.5% increase from 2026 levels, ensuring sustained demand for NVIDIA's data center processors across multiple generations of chips.
• Ecosystem Lock-In: NVIDIA's CUDA software platform has become the de facto standard for AI development, making it difficult for customers to switch to competing chips even if alternatives become available, creating a structural competitive advantage.
• Vera Rubin Ramp Potential: If Vera Rubin reaches 20% of data center revenue in Q3 as guided, the higher revenue density per gigawatt would support the analyst thesis for $308.85 upside.

The bull case rests on a simple premise: NVIDIA's supply shortage is not a temporary constraint but a structural feature of the AI infrastructure cycle. As long as hyperscalers continue investing at projected levels and NVIDIA cannot manufacture chips fast enough to meet demand, the company can maintain pricing discipline and expand margins despite near-term memory cost pressures.

What Could Derail NVIDIA's Growth Story?

The bear case hinges on two primary risks. First, China policy restrictions could widen, eliminating a significant portion of NVIDIA's addressable market. The company's latest guidance explicitly excludes any China data center compute revenue, a conservative assumption that suggests management is bracing for further restrictions. Second, if hyperscaler capex slips meaningfully below the $1.3 trillion 2027 projection, demand for NVIDIA's chips could soften faster than supply constraints would suggest.

Margin pressure also presents a near-term headwind. NVIDIA has extended $108.5 billion in guarantee obligations to AI cloud partners, a significant contingent liability that could impact profitability if customer demand weakens or if the company needs to offer pricing concessions to maintain market share. Additionally, gross margins are expected to compress in Q4 due to memory pricing, though analysts expect this to be temporary.

NVIDIA's 10-year track record is extraordinary. The stock has returned 14,460.09% over the past decade, turning a $10,000 investment into roughly $1.45 million. Whether the next decade can deliver similar returns depends on whether the company can sustain its supply advantage while managing margin pressure and geopolitical risk. Based on current guidance and demand signals, analysts believe the next 12 months still point higher, even if the longer-term outlook remains uncertain.