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AI Infrastructure NASDAQ: NVDA

NVIDIA Corporation (NVDA)

The backbone of every AI model trained today.

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✓ Reviewed by Get AI Decoded Editorial Team Updated April 2026
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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

$215.9B
FY2026 Total Revenue
Full year ending Jan 2026
$193.7B
FY2026 Data Center Revenue
Up from $115.2B in FY2025
$68B
Q4 FY2026 Revenue
Beat consensus of ~$66B
+75% YoY
Q4 Data Center Growth
Q4 data center: $62.3B
$72.9B
FY2026 Net Income
Operating income: $81.5B
5/5
AI Exposure Score
AI is the core business.
⚡⚡⚡⚡⚡
⚡ About AI Exposure Score: Reflects how central AI is to this company's current revenue and growth strategy. 5 = AI is the core business. 1 = AI is a minor angle. Editorial assessment — not a buy/sell signal.

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Upcoming Catalysts

  • SLB partnership expansion for AI infrastructure in energy sector (Mar 25, 2026)
  • 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

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

Sources: CNBC Q4 FY2026 earnings (Feb 25, 2026), Fortune (Feb 25, 2026), Futurum Research

⚠️ 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.

NVDA in the News

Sat, Apr 11 · ~3 min read
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Fri, Apr 10 · ~3 min read
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Thu, Apr 9 · ~3 min read
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