The NVIDIA GRID VCA is the world's first visual computing appliance.
Mostly false False in substance, right 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.
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 March 2013. True: no product sold before the GRID VCA (announced at GTC in March 2013) was a self-contained appliance delivering GPU-accelerated visual computing (remote graphics or virtualized GPU workstations) to multiple clients, and contemporaneous or historical sources treat it as the first of that category. Mostly true: it was the first under NVIDIA's own definition, and earlier products were only loosely comparable. Mostly false: earlier products did substantially the same thing (e.g., GPU-based remote visualization appliances from NVIDIA, such as Quadro Plex/VCS, or from other vendors) but differed in some respects. False: an earlier product clearly fitting the 'visual computing appliance' description existed and was marketed as such.
Set before the research began.
Evidence (4)
-
E1 Nvidia Begins Shipping its Quadro Plex 1000 Visual Computing System | Computer Graphics World Computer Graphics World (CGW) · 3 October 2006 Own record
“Santa Clara, Calif. - Nvidia Corporation is now shipping the Nvidia Quadro Plex 1000, the world's first dedicated visual computing system (VCS).”
-
E2 NVIDIA Unveils Industry's First Visual Computing Appliance NVIDIA · 19 March 2013 Own record
“SAN JOSE, CA - GTC 2013 -- NVIDIA today introduced the industry's first visual computing appliance -- enabling businesses to deliver ultra-fast GPU performance to any Windows, Linux or Mac client on their network.”
-
E3 Nvidia kicks off GTC 2013 with fresh roadmaps, new products - ZDNET ZDNET · 19 March 2013
“To reach that audience, Nvidia announced an appliance server—it’s first end-to-end system—called GRID Virtual Computing Appliance (VCA).”
-
E4 NVIDIA Quadro Plex Visual Computing System - Engineering.com Engineering.com (Design World) · 25 November 2008 Own record
“Featuring four Quadro GPUs in a high-density 1U chassis for high-performance remote graphics and offline rendering applications”
Reasoning
NVIDIA's March 2013 release calls the GRID VCA the industry's first visual computing appliance (E2). But earlier announcements show the Quadro Plex 1000, a 'dedicated visual computing system', shipping in 2006 (E1), and a Quadro Plex visual computing system with four Quadro GPUs in a 1U chassis for remote graphics by 2008 (E4). The 2008 Quadro Plex product, a four-GPU 1U chassis for remote graphics (E4), is the kind of earlier NVIDIA product the criteria name as making the claim mostly false. The evidence does not set out in detail how these products differed from the GRID VCA; E1 and E4 describe them as visual computing systems rather than appliances. ZDNet (E3) describes the VCA as NVIDIA's first end-to-end system and does not address whether it was an industry first.
Cite this claim
Jensen Huang, “The NVIDIA GRID VCA is the world's first visual computing appliance.” (said March 2013). Verdict: mostly false. Reliability API, claim c_e7205db1f277, method 0.1.0+03d23c0e, dataset release v1.1.2. https://epistacklabs.com/claims/c_e7205db1f277
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More factual claims by Jensen Huang
-
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.
-
Mixed
“A long time ago, NVIDIA used to be a GPU company.”
-
Resolved true
“NVIDIA Open Shell is open source.”
-
Resolved true
“Today we’re announcing the Nemotron 3 Ultra.”
NVIDIA announced Nemotron 3 Ultra, its next open model, at the keynote.
-
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.