ClaimsJensen Huang

“MAX $39,900 + $4,800/yr SW license (unlimited devices)”

Jensen Huang, NVIDIA CEO, keynote slides March 2013 GTC 2013 Jen-Hsun Huang Keynote (SlideShare)

Factual Their own work or organisation

The NVIDIA GRID VCA MAX model costs $39,900 plus a $4,800/yr software license covering unlimited devices.

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 second judge would not resolve this claim; the verdict shown is the first judge's.

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

What would count as true or false

Judge as of March 2013 (the GTC 2013 announcement of NVIDIA GRID VCA). True: NVIDIA's official pricing for the GRID VCA 'MAX' configuration was $39,900 plus a $4,800 per year software licence covering unlimited devices. Mostly true: both prices match, but a minor detail differs (for example the licence terms say 'unlimited clients/users' rather than devices, or the price was quoted as starting or estimated). Mostly false: one of the two prices differs, or the licence did not cover unlimited devices. False: there was no MAX model, or both prices are materially different.

Set before the research began.

Evidence (3)

  1. E1 NVIDIA GPU Tech Conference report - fxguide fxguide · 20 March 2013

    “16 GPU system with 32 threads of Xeon CPU and 384GB of system RAM ($39,900 + $4,800/year for software license)”
  2. E2 SlashGear 101: Remote Computing With NVIDIA GRID VCA - SlashGear SlashGear · 19 March 2013

    “If you're aiming for the big beast of a model, you're going to be paying $39,900 USD with a $4,800-a-year software license.”
  3. E3 NVIDIA Unveils Industry's First Visual Computing Appliance NVIDIA · 19 March 2013 Own record

    “Available in the United States in May from authorized value-added resellers, NVIDIA GRID VCA is offered in 8 GPU or 16 GPU configurations, with pricing starting at $24,900, plus an annual software license of $2,400.”

Reasoning

Two independent March 2013 reports give the larger 16-GPU GRID VCA configuration's price as $39,900 plus a $4,800-per-year software licence (E2, E3), which matches both figures in the claim. NVIDIA's announcement confirms that 8-GPU and 16-GPU configurations existed, with pricing starting at $24,900 (E4). None of the evidence uses the name 'MAX' for the 16-GPU model or says whether the licence covered unlimited devices. Because both prices match and only these smaller details are unconfirmed, the claim resolves mostly true.

Cite this claim

Jensen Huang, “The NVIDIA GRID VCA MAX model costs $39,900 plus a $4,800/yr software license covering unlimited devices.” (said March 2013). Verdict: mostly true. Reliability API, claim c_71b10065df76, method 0.1.0+03d23c0e, dataset release v1.1.2. https://epistacklabs.com/claims/c_71b10065df76

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

Reply to this claim

For Jensen Huang, or someone speaking for them: a correction or counter-evidence. Replies are read before anything is shown; an approved reply shows your name, role, date, statement and link. Your email address is never shown and is deleted 30 days after the decision (privacy).

More factual claims by Jensen Huang

  1. Mostly true Factual 4 September 2026
    “our architecture is fungible in the sense that it runs every AI model, runs all data processing and parallel processing tasks.”

    NVIDIA's architecture runs every AI model and all data processing and parallel processing tasks.

  2. Mixed Factual 2 June 2026
    “A long time ago, NVIDIA used to be a GPU company.”

    NVIDIA used to be a GPU company a long time ago.

  3. Resolved true Factual 1 June 2026
    “NVIDIA Open Shell is open source.”

    NVIDIA's OpenShell is open source.

  4. Resolved true Factual 1 June 2026
    “Today we’re announcing the Nemotron 3 Ultra.”

    NVIDIA announced Nemotron 3 Ultra, its next open model, at the keynote.

  5. Resolved true Factual 1 June 2026
    “It is the reason why we’re working with Cadence so hard to accelerate all of their tools on CUDA, because the agents are impatient.”

    NVIDIA is working with Cadence to accelerate Cadence's tools on CUDA.

All of them

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