What is Nvidia's edge computing — revenue?

Nvidia (NVDA) reported edge computing — revenue of $6.37B in Q1 2026.

What does edge computing — revenue mean?

This metric represents the total revenue generated from hardware, software, and networking solutions specifically designed for edge computing environments. It captures sales of specialized processors and platforms that enable data processing and AI inference closer to the source of data generation rather than in centralized cloud data centers. This segment reflects the company's ability to monetize decentralized computing architectures and industrial automation applications.

Nvidia NVDA Edge Computing — Revenue

Other product segments

Hyperscale

$37.87B—

AI Clouds, Industrial, & Enterprise

$37.38B—

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Other financials

Income statement

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Revenue$81.6B+85.2%

Gross profit$61.2B+129%

Operating income$53.5B+147%

Net income$58.3B+211%

EPS (diluted)$2.39+214%

Balance sheet

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Cash & equivalents$13.2B-13.1%

Total debt$12.8B+24.6%

Total equity$195.47B+133%

Total assets$259.47B+107%

Cash flow

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Operating cash flow$50.3B+83.6%

CapEx$1.8B+43.2%

Free cash flow$48.6B+85.5%

Valuation

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Market cap$4.85T+24.8%

Enterprise value$4.85T+25.0%

P/E30.4×-20.2×

P/S19.1×-7.0×

Profitability

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Gross margin74.1%+4.0pp

Operating margin64%+6.0pp

Net margin63%+11.3pp

FCF margin47%-1.5pp

Returns & leverage

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Return on equity114.3%-1.2pp

Debt / equity0.1×-0.1×

Current ratio3.4×+0.1×

Where this comes from

Reported directly by Nvidia in its filing.

Tagged under the XBRL concept us-gaap:Revenues.

The official record: Nvidia’s 10-Q, filed May 20, 2026, on SEC EDGAR. View the filing →

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What is Nvidia's edge computing — revenue?: Nvidia (NVDA) reported edge computing — revenue of $6.37B in Q1 2026.
What does edge computing — revenue mean?: This metric represents the total revenue generated from hardware, software, and networking solutions specifically designed for edge computing environments. It captures sales of specialized processors and platforms that enable data processing and AI inference closer to the source of data generation rather than in centralized cloud data centers. This segment reflects the company's ability to monetize decentralized computing architectures and industrial automation applications.