In 2008 there were 100M CUDA-capable GPUs, 150K CUDA downloads, 1 GPU supercomputer, 60 university courses and 4,000 academic papers.
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 against NVIDIA's own figures for 2008. True if NVIDIA records (investor presentations, press releases, CUDA program statistics) for 2008 show about 100 million CUDA-capable GPUs, about 150,000 CUDA downloads, one GPU-based supercomputer (e.g. TSUBAME), about 60 university courses and about 4,000 academic papers, each within roughly 10–15%. Mostly true if four of the five figures match and one is off by a modest amount, or if the figures fit a nearby date (e.g. late 2008 vs early 2009). Mixed if about half the figures match. Mostly false if most figures are off or belong to a clearly different year. False if the records show substantially different figures for 2008.
Set before the research began.
Evidence (4)
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E1 GTC15 Keynote Highlights 10X GPU Computing Growth HPCwire · 17 March 2015
“growth of GPU computing since 2008 (CUDA debuted in 2007). In that fledgling year, there were 150,000 CUDA downloads, 27 CUDA apps, 4,000 relevant academic papers, 60 universities starting to teach CUDA-accelerated computing, and 6,000 Tesla GPUs shipped”
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E2 GPU-based supercomputers? Tell me about your experience InfoWorld · 23 December 2008
“Nvidia’s CUDA toolkit and SDK hit key milestones – 150K downloads, 150 applications published on CUDA Zone, more than 50 schools now teach the CUDA programming model and more than 750 research papers now published.”
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E3 High Performance Computing NVIDIA (NVISION08 keynote slides, David B. Kirk) · 2008 Own record
“100M CUDA GPUs”
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E4 GPU-based supercomputers? Tell me about your experience InfoWorld · 23 December 2008
“The Nvidia Tesla-powered TSUBAME supercomputer at the Tokyo Institute of Technology was ranked 29th in the world in the latest Top 500, making it the first GPU enabled cluster to enter the listing.”
Reasoning
NVIDIA's 2008 NVISION keynote slides show "100M CUDA GPUs" [E3]. A December 2008 report records 150K CUDA downloads and more than 50 schools teaching CUDA [E2]. It also names TSUBAME as the first GPU-enabled cluster on the Top 500 [E4]. HPCwire's report of NVIDIA's 2015 keynote gives NVIDIA's own 2008 figures as 150,000 downloads, 60 universities and 4,000 academic papers [E1], which matches the claim. The December 2008 report gives a much lower paper count than the claim ("more than 750 research papers" against 4,000) and gives "more than 50" schools rather than 60 [E2]. Each of the five figures is supported by at least one source; the paper figure matches the later account of NVIDIA's figures [E1] but not the December 2008 report [E2].
Cite this claim
Jensen Huang, “In 2008 there were 100M CUDA-capable GPUs, 150K CUDA downloads, 1 GPU supercomputer, 60 university courses and 4,000 academic papers.” (said March 2013). Verdict: mostly true. Reliability API, claim c_057a4cc2b8b5, method 0.1.0+03d23c0e, dataset release v1.1.2. https://epistacklabs.com/claims/c_057a4cc2b8b5
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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“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.