By 2013 there were 430M CUDA-capable GPUs, 1.6M CUDA downloads, 50 GPU supercomputers, 640 university courses and 37,000 academic papers.
Resolved true The record shows it happened or was so.
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
Five figures, judged as of March 2013 against NVIDIA's own published CUDA ecosystem statistics or independent counts (Top500 for supercomputers). TRUE: all five match NVIDIA's contemporaneous figures within about 10%. MOSTLY TRUE: four match and one is a little off (within about 25%) or uses a slightly different definition. MIXED: two or three hold. MOSTLY FALSE: only one holds, or the figures are real but cumulative or projected in a way that misleads. FALSE: none are supported. If NVIDIA's own slides are the only source, they count as NVIDIA's dated statements; Top500 lists of June or November 2012 can check the supercomputer count.
Set before the research began.
Evidence (4)
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E1 NVIDIA GPU Tech Conference report - fxguide fxguide · 20 March 2013
“Today, there are over 430 million installed CUDA GPUs and 1.6 million downloads of CUDA”
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E2 [PDF] HPC Directions at NVIDIA HPC User Forum (presentation by Cyril Zeller, Senior Manager, Developer Technology, NVIDIA) · 2013 Own record
“430M Compute-Capable GPUs 1.6M CUDA Toolkit Downloads 50 Supercomputers 640 University Courses 37,000 Academic Papers”
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E3 November 2012 TOP500.org · 12 November 2012
“A total of 62 systems on the list are using Accelerator/Co-Processor technology, including Titan and the Chinese Tianhe-1A system (No. 8), which use NVIDIA GPUs to accelerate computation and Stampede and six others, which are accelerated by the new Intel Xeon Phi processors.”
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E4 NVIDIA CEO Races Toward GPU Computing "Tipping Point" At GTC 2013 - SlashGear SlashGear · 19 March 2013
“There's a huge spike in GPU-based computers being built for real work – about 20 percent of total Top500 horsepower is GPU.”
Reasoning
E2 is an NVIDIA presentation from 2013, and it lists the same five figures as the claim: 430M compute-capable GPUs, 1.6M CUDA Toolkit downloads, 50 supercomputers, 640 university courses and 37,000 academic papers. The criteria count NVIDIA's slides as its dated statements. E1, an independent report of the March 2013 conference, gives the same 430 million installed CUDA GPUs and 1.6 million CUDA downloads. E3, the November 2012 TOP500 list, shows 62 systems using accelerators, 7 of them with Intel Xeon Phi. That leaves about 55 non-Phi systems, which roughly fits the count of 50 GPU supercomputers, though E3 does not break those 55 down by vendor.
Cite this claim
Jensen Huang, “By 2013 there were 430M CUDA-capable GPUs, 1.6M CUDA downloads, 50 GPU supercomputers, 640 university courses and 37,000 academic papers.” (said March 2013). Verdict: resolved true. Reliability API, claim c_ec9531cf009c, method 0.1.0+03d23c0e, dataset release v1.1.2. https://epistacklabs.com/claims/c_ec9531cf009c
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More factual claims by Jensen Huang
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Mostly true
“NVIDIA and Microsoft has created a whole new line of PCs.”
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Mostly true
“All 100% Windows compatible, 100% CUDA, 100% NVIDIA AI Tensor Core.”
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Mostly false
“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.”
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Mostly false
“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.
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Mostly true
“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.”
Verdicts are made automatically; how verdicts are made.