NVIDIA Corporation (NVDA)
The backbone of every AI model trained today.
The AI Angle
NVIDIA designs the graphics processing units (GPUs) that power AI training and inference. The company's H100, H200, and Blackwell (B200) chips are the dominant hardware inside every major AI data center — from OpenAI and Anthropic to Google and Meta. At GTC 2026, NVIDIA unveiled the Vera Rubin architecture (2027), which measures 3.3x more performance-per-watt than Blackwell, extending its hardware lead.
The AI buildout is not slowing. The four largest US hyperscalers — Amazon, Alphabet, Meta, and Microsoft — are on track to spend a combined $650–700 billion on AI infrastructure in 2026. Nearly all of that compute runs on NVIDIA silicon. NVIDIA's data center platform revenue hit $193.7 billion in fiscal year 2026, up from $115.2 billion the year before.
Key Numbers
Sources: CNBC Q4 FY2026 earnings (Feb 25, 2026), Fortune (Feb 25, 2026), Futurum Research
Upcoming Catalysts
- Vera Rubin GPU architecture launch in 2027 — 3.3x efficiency vs Blackwell
- Hyperscaler CapEx continuing at $650-700B combined in 2026
- Sovereign AI programs (national AI compute) growing 300%+ annually
- Networking revenue surge: $11B in Q4 FY2026 (up from $3B prior year)
Key Risks
- US export restrictions could limit China sales (already impacted by Hopper/Blackwell rules)
- Custom ASIC competition from Broadcom, Google TPUs, and Amazon Trainium
- AMD gaining share with MI300X/MI400 series in inference workloads
- Valuation premium requires sustained hypergrowth execution
⚠️ Not financial advice. This page is for informational purposes only. All figures are sourced from public earnings reports, company guidance, and financial news. Past performance is not indicative of future results. Always do your own research before making any investment decisions.
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