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In summary
Nvidia and Intel are two major technology companies with different growth trajectories. Nvidia continues to dominate AI hardware and GPUs, while Intel's stock has staged a dramatic recovery driven by renewed optimism around AI infrastructure and its foundry business.
Key points:
- Nvidia's market capitalisation stands at approximately ₹ 4.16 lakh crore crore (USD 4.9 trillion) as of June 2026, compared to Intel's market cap of approximately ₹ 45.8 lakh crore (USD 538 billion).
- Nvidia's flagship AI products include A100 and H100 Tensor Core GPUs, alongside newer offerings in the Blackwell series.
- Intel offers products across CPUs, data centres, AI processors, and Arc GPUs.
- Nvidia reported total revenue of approximately ₹ 6.94 lakh crore (USD 81.6 billion) for its first quarter of fiscal 2027, while Intel reported first-quarter 2026 revenue of approximately ₹ 1.16 lakh crore (USD 13.6 billion), up 7% year-over-year.
- Intel stock has risen approximately 452% in the last twelve months as of June 2026, while Nvidia's market cap has grown by roughly 11% over the same period.
- Both companies continue investing heavily in AI technologies, but their long-term business priorities differ significantly.
Nvidia vs Intel: Key comparison
What is fiscal policy?
| Metric | Nvidia | Intel |
| Market capitalisation | ₹ 4.16 lakh crore crore | ₹ 45.8 lakh crore |
| Quarterly revenue (latest) | ₹ 6.94 lakh crore (Q1 FY27) | ₹ 1.16 lakh crore (Q1 2026) |
| One-year stock price change | +11% (market cap growth) | +452% |
| Profit margin | Strongly positive | -5.90% (ttm) |
| Price-to-earnings ratio | Elevated, growth-driven | Not meaningful (negative earnings) |
Note: Figures are converted at an approximate exchange rate of ₹85 per USD and are sourced from company filings and third-party market data platforms as of early-to-mid June 2026. These are subject to change daily based on currency movements and market fluctuations.
Investors often compare Nvidia and Intel because both companies operate in semiconductor and computing technologies. However, their product focus and growth strategies differ significantly.
Nvidia remains primarily known for GPUs and AI computing solutions, while Intel has been a leading player in CPUs for decades and is now benefiting from a shift in processing needs toward enterprise and consumer AI applications, with revenue growth resuming after a prolonged downturn.
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What is the current market position of Nvidia and Intel?
Nvidia reported record quarterly revenue of approximately ₹ 5.79 lakh crore (USD 68.1 billion) in Q4 fiscal 2026, up 73% from a year ago, with record Data Center revenue of approximately ₹ 5.30 lakh crore (USD 62.3 billion). For fiscal 2026 overall, Nvidia's revenue reached approximately ₹ 18.35 lakh crore (USD 215.9 billion), up 65% year-over-year.
Its product portfolio includes:
- GeForce GPUs
- Quadro professional graphics solutions
- A100 and H100 Tensor Core GPUs
- Grace Hopper Superchip
- DGX AI systems
Newer RTX PRO Blackwell GPUs and DGX Spark systems for agentic AI workflows
Intel operates across several technology segments, including:
- Client computing
- Data centres
- Enterprise infrastructure
- Edge computing
Artificial intelligence
Intel's first-quarter 2026 revenue was approximately ₹ 1.16 lakh crore (USD 13.6 billion), up 7% year-over-year, with CEO Lip-Bu Tan highlighting growing demand for Intel's CPUs and advanced packaging offerings driven by the shift toward AI inference and agentic applications.
Why is Nvidia considered a leader in AI?
Nvidia has maintained its strong position in artificial intelligence through specialised hardware designed for machine learning and AI workloads.
In fiscal 2026, Nvidia's Data Center segment alone generated approximately ₹ 16.46 lakh crore (USD 193.7 billion) in revenue, up 68% year-over-year, with Compute revenue at approximately ₹ 13.80 lakh crore (USD 162.4 billion) and Networking revenue at approximately ₹ 2.67 lakh crore (USD 31.4 billion).
Its A100 and H100 Tensor Core GPUs continue to be widely used for:
- AI model training
- Machine learning applications
- High-performance computing
Large-scale data centre operations
Another important advantage remains Nvidia's CUDA platform, which continues to be a widely adopted programming framework for AI development.
The company also serves multiple industries, including:
| Industry | AI Applications |
| Automotive | Autonomous systems |
| Healthcare | Data analysis and diagnostics |
| Finance | Risk modelling and analytics |
| Technology | AI model development |
Nvidia's Automotive revenue grew 39% to a record approximately ₹ 19,500 crore (USD 2.3 billion) for the full year, driven by adoption of its self-driving platforms and the new Alpamayo family of open AI models for autonomous vehicles.
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How do their financial metrics compare?
Selected financial indicators (as of June 2026):
| Indicator | Nvidia | Intel |
| Market capitalisation | ₹ 4.16 lakh crore crore | ₹ 45.8 lakh crore |
| Enterprise Value | Not directly comparable | ₹ 46.8 lakh crore |
| Enterprise Value/EBITDA | Significantly higher | 48.18 |
| Total cash (mrq) | Substantial | ₹ 2.79 lakh crore |
| Return on Equity (ttm) | Strongly positive | -2.91% |
Nvidia's significantly higher valuation multiples reflect stronger growth expectations from the market relative to Intel, which is still in a turnaround phase with negative trailing earnings.
How have Nvidia and Intel stocks performed?
Both Nvidia and Intel have benefited from renewed investor interest in AI and advanced computing technologies, though for different reasons.
| Performance metric | Nvidia | Intel |
| One-year market cap change | +11% to +48% (depending on measurement period) | +452% to +500% |
Intel's stock has risen nearly 500% over the past twelve months as of early June 2026, driven by optimism around its foundry business and AI-related demand for CPUs. Nvidia, meanwhile, has continued its steady climb, with its market cap increasing by approximately 48% over the trailing twelve months as of June 2026.
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Nvidia doubles down on AI while Intel broadens its focus
Nvidia continues to strengthen its position in AI by expanding its portfolio of GPUs and specialised AI processors.
Key focus areas include:
- H100 and Blackwell-series Tensor Core GPUs
- AI accelerator technologies
- Strategic partnerships across hyperscalers, AI clouds, and sovereign customers
AI-focused acquisitions
Nvidia's Data Center revenue mix has diversified, with Hyperscale customers now representing approximately 50% of Data Center revenue and the remaining share coming from AI Clouds, industrial, enterprise, and sovereign customers.
Intel is pursuing a broader technology strategy that includes AI while investing in several adjacent markets.
Its priorities include:
- AI accelerators such as Habana Labs solutions
- Arc graphics processors
- Cloud computing infrastructure and data centre technologies
- Foundry services for external customers
Quantum computing research
This difference in strategy highlights Nvidia's concentrated AI focus compared with Intel's diversified turnaround strategy centred on its foundry business and renewed CPU demand.
Conclusion
Nvidia and Intel remain significant participants in the semiconductor industry, but they continue to operate with very different strategic priorities and financial profiles. Nvidia has solidified its dominant position in AI computing and GPU technologies with a market capitalisation nearing ₹ 4.16 lakh crore crore, while Intel has staged a remarkable stock recovery in 2026, driven by optimism around its foundry business, new partnerships, and renewed demand for its CPUs in the evolving AI landscape.
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NVIDIA is known for its high-performance GPUs and advanced AI capabilities. AMD is known for its cost-effective, high-performance GPUs and CPUs. You can analyse both the companies to make an investment decision.
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