ClaimsJensen Huang

“All of this is completely open source.”

Jensen Huang, NVIDIA CEO 7 January 2025 [Full transcript] NVIDIA CEO Jensen Huang Keynote at CES 2025 (y2doc) archived copy

Factual Technology

NVIDIA's AI Blueprints are completely open source.

Mostly true True in substance, wrong in a detail.

Factual: Statements about the present or the past, checked against the record: did they hold up?

The evidence is the person's or their organisation's own records.

Said for an organisation they lead or work for; it counts on both records.

What would count as true or false

Judged as of 2025-01-07. True: the NVIDIA AI Blueprints referred to in the CES 2025 keynote were published with source code under open-source licences (such as Apache 2.0 on GitHub) and could be used without proprietary components. Mostly true: the blueprint code and reference workflows are open source, but they rely on some NVIDIA components such as NIM microservices or models under NVIDIA licences. Mixed: the blueprints are open source but depend substantially on proprietary components, or only some of the blueprints are open. Mostly false: only sample code is open, and the core is proprietary or requires a licence such as NVIDIA AI Enterprise. False: the blueprints are not released under open-source licences.

Set before the research began.

Evidence (4)

  1. E1 rag/deploy/workbench/README.md at main · NVIDIA-AI-Blueprints/rag GitHub (NVIDIA-AI-Blueprints organisation repository) · 11 December 2024 Own record

    “This NVIDIA AI BLUEPRINT is licensed under the Apache License, Version 2.0. This project will download and install additional third-party open source software projects and containers.”

  2. E2 rag/deploy/workbench/README.md at main · NVIDIA-AI-Blueprints/rag GitHub (NVIDIA-AI-Blueprints organisation repository) · 11 December 2024 Own record

    “This blueprint is governed by the NVIDIA Agreements | Enterprise Software | NVIDIA Software License Agreement and the NVIDIA Agreements | Enterprise Software | Product Specific Terms for AI Product.”

  3. E3 rag/deploy/workbench/README.md at main · NVIDIA-AI-Blueprints/rag GitHub (NVIDIA-AI-Blueprints organisation repository) · 11 December 2024 Own record

    “Use of the models in this blueprint is governed by the NVIDIA AI Foundation Models Community License.”

  4. E4 video-search-and-summarization/LICENSE at develop · NVIDIA-AI-Blueprints/video-search-and-summarization GitHub (NVIDIA-AI-Blueprints organisation repository) · 22 October 2024 Own record

    “Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. This project is licensed under Apache-2.0.”

Reasoning

The NVIDIA RAG blueprint README, dated before the keynote, says the blueprint is licensed under Apache 2.0 (E1), and the video search and summarization blueprint repository also carries an Apache-2.0 licence (E4). The same README also says the blueprint is governed by NVIDIA's Software License Agreement and Product Specific Terms for AI Product (E2). It says the models used are covered by an NVIDIA licence, the NVIDIA AI Foundation Models Community License, rather than the Apache licence that covers the blueprint (E3). That matches the criteria's "mostly true" case: the blueprint code is open source but relies on NVIDIA-licensed components. All of the evidence comes from NVIDIA's own published repositories.

Cite this claim

Jensen Huang, “NVIDIA's AI Blueprints are completely open source.” (said 7 January 2025). Verdict: mostly true. Reliability API, claim c_f3e6f367b132, method 0.1.0+03d23c0e, dataset release v1.1.2. https://epistacklabs.com/claims/c_f3e6f367b132

This claim is in dataset release v1.1.2, with the same verdict.

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More factual claims by Jensen Huang

  1. Mostly true Factual 2 June 2026
    “NVIDIA and Microsoft has created a whole new line of PCs.”

    NVIDIA and Microsoft have created a whole new line of PCs.

  2. Mostly true Factual 1 June 2026
    “All 100% Windows compatible, 100% CUDA, 100% NVIDIA AI Tensor Core.”

    The three new Windows machines are 100% Windows compatible, 100% CUDA and 100% NVIDIA AI Tensor Core.

  3. Mostly false Factual 7 January 2025
    “DRIVE OS is now the first software-defined, programmable AI computer that has been certified up to ASIL D, which is the highest standard of functional safety for automobiles.”

    NVIDIA DRIVE OS is the first software-defined programmable AI computer certified up to ASIL D, the highest automotive functional safety standard.

  4. Mostly false Factual 7 January 2025
    “For $1,299, this 5070 laptop has 4090 performance at half the power.”

    The RTX 5070 laptop priced at $1,299 has RTX 4090 performance at half the power.

  5. Mostly true Factual 7 January 2025
    “Six years later, we invented in 1999 the programmable GPU, and it started 20 plus years of incredible advance in this incredible processor called the GPU.”

    NVIDIA invented the programmable GPU in 1999, six years after the UDA work described just before in the speech, and this started more than 20 years of advances in the GPU.

All of them

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