In 2016 NVIDIA announced DGX-1, its first AI supercomputer, and Huang delivered the first one to OpenAI, then a San Francisco startup.
Unresolvable The public record could not settle it.
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
There are three parts: (a) NVIDIA announced DGX-1 in 2016; (b) it was NVIDIA's first AI supercomputer, meaning NVIDIA had no earlier product it marketed as an AI or deep-learning supercomputer system; (c) Huang personally delivered the first DGX-1 unit to OpenAI in San Francisco. True: dated records (NVIDIA announcements, OpenAI or NVIDIA posts, contemporaneous press coverage) show all three. Mostly true: all three hold, with a minor slip in a detail the claim does not depend on, for example the delivery was at OpenAI's office but OpenAI was then a nonprofit research lab rather than a 'startup', or delivery came in a different month of 2016. Mixed: one of the core parts fails, for example the announcement was not in 2016, or NVIDIA had sold an earlier AI supercomputer product, while the delivery to OpenAI is confirmed. Mostly false: OpenAI got an early DGX-1 but evidence shows it was not the first unit delivered, or Huang did not deliver it. False: the evidence shows OpenAI did not receive a DGX-1 from Huang/NVIDIA in that period and DGX-1 was not announced in 2016.
Set before the research began.
Evidence (4)
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E1 NVIDIA Delivers DGX-1 Supercomputer in a Box to OpenAI TOP500 (Michael Feldman) · 15 August 2016
“The system, which was hand-delivered to the company’s headquarters in San Francisco by NVIDIA CEO Jen-Hsun Huang, will be used to run some of OpenAI’s most computationally challenging applications.”
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E2 Why Nvidia Gifted Elon Musk’s AI Non-Profit Its Latest Supercomputer Data Center Knowledge · 19 August 2016
“Huang delivered the system to OpenAI’s offices a week before Intel, Nvidia’s biggest competitor”
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E3 NVIDIA Launches World's First Deep Learning Supercomputer NVIDIA · 5 April 2016 Own record
“NVIDIA (NASDAQ: NVDA) today unveiled the NVIDIA® DGX-1™, the world's first deep learning supercomputer to meet the unlimited computing demands of artificial intelligence.”
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E4 NVIDIA CEO Delivers World�s First AI Supercomputer in a Box to OpenAI WebWire (NVIDIA press release) · 15 August 2016 Own record
“That�s why NVIDIA CEO Jen-Hsun Huang last week hand-delivered the world�s first AI supercomputer in a box”
Reasoning
The evidence shows NVIDIA announced the DGX-1 in April 2016 as the world's first deep learning supercomputer [E3], and that Huang hand-delivered a DGX-1 to OpenAI's San Francisco office in August 2016 [E1][E2]. No evidence item shows that this was the first DGX-1 unit delivered. The criteria treat that point as core, so the evidence does not settle the claim.
Cite this claim
Jensen Huang, “In 2016 NVIDIA announced DGX-1, its first AI supercomputer, and Huang delivered the first one to OpenAI, then a San Francisco startup.” (said 14 June 2024). Verdict: unresolvable. Reliability API, claim c_ded8ef6b0e7c, method 0.1.0+03d23c0e, dataset release v1.1.2. https://epistacklabs.com/claims/c_ded8ef6b0e7c
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
“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.
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Mixed
“A long time ago, NVIDIA used to be a GPU company.”
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Resolved true
“NVIDIA Open Shell is open source.”
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Resolved true
“Today we’re announcing the Nemotron 3 Ultra.”
NVIDIA announced Nemotron 3 Ultra, its next open model, at the keynote.
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Resolved true
“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.
Verdicts are made automatically; how verdicts are made.