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NVIDIA

Total federal contracts
Awards
8SEC filings (tracked)

NVIDIA is a chip company that turned the GPU — originally a graphics processor — into a general-purpose engine for parallel computing. By owning both its chips and the CUDA software platform, it locked in developers and captured the explosive compute demand of deep learning and generative AI, becoming the de facto standard for data-center GPUs.

Its revenue now comes mainly from the data center (AI training and inference) rather than gaming, with cloud giants and research institutions as key buyers. Its hardware underpins U.S. national-lab supercomputers and government AI research, making it central to AI infrastructure — and one of the firms most exposed to geopolitics, such as advanced-chip export controls.

Federal contract awards over time (past 2 fiscal years)

Federal contract awards to NVIDIA has fallen about 88% from FY2018 to FY2020 (≈$1K to ≈$1K).

FY2018FY2020
Fiscal yearAwarded
FY2020≈$1K
FY2018≈$1K

Total federal contract awards (award types A–D) to this company per fiscal year (starting October). Source: USAspending. May be revised.

SEC filings (EDGAR)

→ SEC filing feed

Timeline

Events tied to this entity, newest first, from the data this site tracks.

  1. 2026-05-20 Filing Current report (8-K) ↗ 8-K
  2. 2026-05-20 Filing Quarterly report (10-Q) ↗ 10-Q
  3. 2026-05-12 Filing Proxy statement (DEF 14A) ↗ DEF 14A
  4. 2026-05-08 Filing Current report (8-K) ↗ 8-K
  5. 2026-04-27 Filing Current report (8-K) ↗ 8-K
  6. 2026-03-06 Filing Current report (8-K) ↗ 8-K
  7. 2026-02-25 Filing Current report (8-K) ↗ 8-K
  8. 2026-02-25 Filing Annual report (10-K) ↗ 10-K
  9. 2026-01-23 Filing Current report (8-K) ↗ 8-K
  10. 2025-11-19 Filing Current report (8-K) ↗ 8-K
  11. 2025-11-19 Filing Quarterly report (10-Q) ↗ 10-Q
  12. 2025-08-27 Filing Current report (8-K) ↗ 8-K

Based on real dates within this site's collected set (contracts = start date / filings = filing date / rules = publication date). Not exhaustive.

FAQ

How does NVIDIA make money?
Most revenue comes from data-center GPUs (AI training and inference), now exceeding gaming GPUs. Cloud giants and research institutions are key buyers.
How is it tied to government?
Its GPUs are widely used in national-lab supercomputers and government AI research, making it central to AI infrastructure.
What is its biggest risk?
It is highly exposed to geopolitics, such as export controls on advanced chips to China, and to concentrated AI demand.

Sources (primary)

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