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|Website=https://www.nvidia.com/
|Website=https://www.nvidia.com/
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'''{{Wplink|Nvidia|Nvidia Corporation}}''' is an American technology company that designs and sells computer components such as {{wplink|Graphics processing units|graphics processing units}} (GPUs) for both commercial and enterprise use. It was founded on April 5, 1993, by current CEO (as of 2026) {{wplink|Jensen Huang|Jensen Huang}}, Chris Malachowsky, and Curtis Priem. The company is the largest providers of GPUs for both consumer and enterprise.  
'''{{Wplink|Nvidia|Nvidia Corporation}}''' is an American technology company that designs and sells computer components such as {{wplink|Graphics processing units|graphics processing units}} (GPUs) for both commercial and enterprise use. It was founded on 05 April, 1993, by current CEO (as of 2026) {{wplink|Jensen Huang|Jensen Huang}}, Chris Malachowsky, and Curtis Priem. The company is the largest providers of GPUs for both consumer and enterprise.  


==Consumer-impact summary==
==Consumer-impact summary==
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===Forced Arbitration===
===Forced Arbitration===
In Nvidia's terms of service regarding accessing their website, under "Informal Resolution" users are required to agree to resolve legal disputes with Nvidia by arbitration from Judicial Arbitration and Mediation Services (JAMS).<ref>{{Cite web |title=NVIDIA Legal Notices |url=https://www.nvidia.com/en-gb/about-nvidia/terms-of-service/ |access-date=2025-06-19 |website=NVIDIA |language=en-gb}}</ref>
In Nvidia's terms of service regarding accessing their website, under "Informal Resolution" users are required to agree to resolve legal disputes with Nvidia by arbitration from Judicial Arbitration and Mediation Services (JAMS).<ref>{{Cite web |title=NVIDIA Legal Notices |url=https://www.nvidia.com/en-gb/about-nvidia/terms-of-service/ |access-date=2025-06-19 |website=NVIDIA |language=en-gb |archive-url=http://web.archive.org/web/20260221043438/https://www.nvidia.com/en-gb/about-nvidia/terms-of-service/ |archive-date=21 Feb 2026}}</ref>
 
===Artificial Feature Segmentation of Consumer GPUs (''2013 - Present'')===
Nvidia's consumer GeForce and enterprise Quadro/Tesla product lines frequently share identical silicon, with features differentiated through firmware, driver configuration, or on-die security rather than hardware capability.
 
On the Kepler-generation GK110 GPU, all variants of the chip contain 64 double precision (FP64) CUDA cores per SMX block, but on consumer cards such as the GTX 780 and GTX 780 Ti, Nvidia forced the FP64 units to run at one eighth of the GPU's clock rate, reducing effective FP64 throughput to 1/24 that of FP32.<ref>{{Cite web |last=Angelini |first=Chris |date=2013-02-19 |title=Compute Performance And Striking A Balance |url=https://www.tomshardware.com/reviews/geforce-gtx-titan-gk110-review,3438-3.html |url-status=live |access-date=2026-03-02 |website=Tom's Hardware}}</ref> The GeForce GTX Titan, also GK110, shipped with a control panel toggle that restored the full 1/3 FP64 rate, confirming the restriction was deliberate.<ref>{{Cite web |last=Angelini |first=Chris |date=2017-05-25 |title=Nvidia Titan Xp 12GB Review |url=https://www.tomshardware.com/reviews/nvidia-titan-xp,5066-14.html |url-status=live |access-date=2026-03-02 |website=Tom's Hardware}}</ref> The Tesla K40, built on the same die, delivered full FP64 at several times the consumer price.
 
The GTX 680 and Quadro K5000 likewise shared the GK104 die,<ref>{{Cite web |last=Smith |first=Ryan |date=2012-08-07 |title=NVIDIA Announces Kepler-Based Quadro K5000 & Second-Generation Maximus |url=https://www.anandtech.com/show/6140/nvidia-announces-keplerbased-quadro-k5000-secondgeneration-maximus |url-status=live |access-date=2026-03-02 |website=AnandTech}}</ref> and users could cross-flash a Quadro vBIOS onto a GeForce card or modify resistor straps on the PCB to change the PCI device ID, unlocking features such as 10-bit colour output and professional OpenGL optimisations.<ref>{{Cite web |date=2013-03-15 |title=Hacking NVidia Cards into their Professional Counterparts |url=https://www.eevblog.com/forum/general-computing/hacking-nvidia-cards-into-their-professional-counterparts/ |url-status=live |archive-url=https://web.archive.org/web/20200814064418/https://www.eevblog.com/forum/general-computing/hacking-nvidia-cards-into-their-professional-counterparts/ |archive-date=2020-08-14 |access-date=2026-03-02 |website=EEVblog Forum}}</ref> With the GeForce 900 series in 2014, Nvidia introduced an on-die security processor codenamed Falcon that enforced vBIOS signature verification, preventing cards from booting with unauthorised firmware and ending the cross-flashing practice.<ref>{{Cite web |date=2023-08-21 |title=Nvidia vBIOS Modding Is Back After Signature Lock Broken |url=https://www.tomshardware.com/news/new-nvidia-bios-modding-tools |url-status=live |access-date=2026-03-02 |website=Tom's Hardware}}</ref> In August 2023, modders found that Nvidia's own NVFlash utility contained a built-in mismatch bypass and released two tools, OMGVflash and NVflashk, which re-enabled cross-flashing on cards up to the RTX 40 series.<ref>{{Cite web |date=2023-08-22 |title=NVIDIA BIOS Signature Lock breakthrough: New tools enable vBIOS modding and crossflash |url=https://www.igorslab.de/en/durchbruch-bei-nvidia-bios-signature-lock-neue-tools-ermoeglichen-vbios-modding-und-crossflash/ |url-status=live |access-date=2026-03-02 |website=igor'sLAB}}</ref>
 
Nvidia also restricts virtual GPU (vGPU) functionality to enterprise products through a driver-level PCI device ID check rather than any hardware limitation. The RTX 3090 and enterprise RTX A5500 are both built on the GA102 die with near-identical specifications, yet only the A5500 supports vGPU.<ref>{{Cite web |last=Lozano |first=Jorge |date=2025-08-10 |title=Nvidia locks datacenter features out of consumer GPUs |url=https://www.xda-developers.com/nvidia-locks-datacenter-features-out-of-consumer-gpus/ |url-status=live |access-date=2026-03-02 |website=XDA Developers}}</ref> The vgpu_unlock project demonstrates this by intercepting driver calls and spoofing the device ID, enabling Maxwell and newer consumer GPUs to run vGPU without hardware modification.<ref>{{Cite web |last=DualCoder |title=vgpu_unlock: Unlock vGPU functionality for consumer grade GPUs |url=https://github.com/DualCoder/vgpu_unlock |url-status=live |access-date=2026-03-02 |website=GitHub}}</ref>


===Stagnation of Consumer GPU Offerings===
===Stagnation of Consumer GPU Offerings===
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===Data scraping without permission for AI training (''2024 - Present'')===
===Data scraping without permission for AI training (''2024 - Present'')===
Nvidia is heavily involved in [[Artificial_intelligence/training|training AI]] models though plagiarism.<ref>{{Cite web |last=Cole |first=Samantha |date=5 Aug 2024 |title=Leaked Documents Show Nvidia Scraping ‘A Human Lifetime’ of Videos Per Day to Train AI |url=https://www.404media.co/nvidia-ai-scraping-foundational-model-cosmos-project/ |url-status=live |archive-url=https://web.archive.org/web/20250414032908/https://www.404media.co/nvidia-ai-scraping-foundational-model-cosmos-project/ |archive-date=14 Apr 2025 |access-date=15 Jun 2025 |website=404 Media}}</ref><ref>{{Cite web |last=Morales |first=Jowi |date=6 Aug 2024 |title=Nvidia accused of scraping ‘A Human Lifetime’ of videos per day to train AI |url=https://www.tomshardware.com/tech-industry/artificial-intelligence/nvidia-accused-of-scraping-a-human-lifetime-of-videos-per-day-to-train-ai |url-status=live |archive-url=https://web.archive.org/web/20250211081108/https://www.tomshardware.com/tech-industry/artificial-intelligence/nvidia-accused-of-scraping-a-human-lifetime-of-videos-per-day-to-train-ai |archive-date=11 Feb 2025 |access-date=15 Jun 2025 |website=Tom's Hardware}}</ref> In January 2026, a court filing revealed that Nvidia developers contacted Anna's Archive to evaluate the use of pirated content for training, which management gave [[wikipedia:Greenlight|green-light]] for despite legality concerns.<ref>{{Cite web |date=22 Jan 2026 |title=NVIDIA Contacted Anna’s Archive to Secure Access to Millions of Pirated Books |url=https://torrentfreak.com/nvidia-contacted-annas-archive-to-secure-access-to-millions-of-pirated-books/ |url-status=live |access-date=22 Jan 2026 |website=torrentfreak}}</ref><!-- Elaborate on the scale of the data collection, companies that also do this, and possibly how it ties into lobbying for no regulation -->
Nvidia is heavily involved in [[Artificial_intelligence/training|training AI]] models though plagiarism.<ref>{{Cite web |last=Cole |first=Samantha |date=5 Aug 2024 |title=Leaked Documents Show Nvidia Scraping ‘A Human Lifetime’ of Videos Per Day to Train AI |url=https://www.404media.co/nvidia-ai-scraping-foundational-model-cosmos-project/ |url-status=live |archive-url=https://web.archive.org/web/20250414032908/https://www.404media.co/nvidia-ai-scraping-foundational-model-cosmos-project/ |archive-date=14 Apr 2025 |access-date=15 Jun 2025 |website=404 Media}}</ref><ref>{{Cite web |last=Morales |first=Jowi |date=6 Aug 2024 |title=Nvidia accused of scraping ‘A Human Lifetime’ of videos per day to train AI |url=https://www.tomshardware.com/tech-industry/artificial-intelligence/nvidia-accused-of-scraping-a-human-lifetime-of-videos-per-day-to-train-ai |url-status=live |archive-url=https://web.archive.org/web/20250211081108/https://www.tomshardware.com/tech-industry/artificial-intelligence/nvidia-accused-of-scraping-a-human-lifetime-of-videos-per-day-to-train-ai |archive-date=11 Feb 2025 |access-date=15 Jun 2025 |website=Tom's Hardware}}</ref> In January 2026, a court filing revealed that Nvidia developers contacted Anna's Archive to evaluate the use of pirated content for training, which management gave [[wikipedia:Greenlight|green-light]] for despite legality concerns.<ref>{{Cite web |date=22 Jan 2026 |title=NVIDIA Contacted Anna’s Archive to Secure Access to Millions of Pirated Books |url=https://torrentfreak.com/nvidia-contacted-annas-archive-to-secure-access-to-millions-of-pirated-books/ |url-status=live |access-date=22 Jan 2026 |website=torrentfreak |archive-url=http://web.archive.org/web/20260222073221/https://torrentfreak.com/nvidia-contacted-annas-archive-to-secure-access-to-millions-of-pirated-books/ |archive-date=22 Feb 2026}}</ref><!-- Elaborate on the scale of the data collection, companies that also do this, and possibly how it ties into lobbying for no regulation -->


===RTX 50-series GPUs Missing ROPs (''2025 - Present'')===
===RTX 50-series GPUs Missing ROPs (''2025 - Present'')===
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===Disingenious RTX 5070 marketing (''2025.03.01 - Present'')===
===Disingenious RTX 5070 marketing (''2025.03.01 - Present'')===
Nvidia on stage when introducing the RTX 5070 on stage, branded it as having the same performance as a RTX 4090 but for half the price.<ref>{{Cite web |last=Leadbetter |first=Richard |date=2025-01-13 |title=DF Weekly: can the new RTX 5070 really match RTX 4090 performance? |url=https://www.digitalfoundry.net/articles/digitalfoundry-2025-df-weekly-can-the-new-rtx-5070-really-match-rtx-4090-performance |url-status=live |access-date=2026-01-15 |website=Digital Foundry}}</ref> This disingenious marketing was disproven by multiple credible reviewers who showed that the 5070, even when using MFG 4x Frame Generation could not achieve parity with the 4090.<ref>{{Cite web |last=Burke |first=Steve |last2=Gaglione |first2=Mike |last3=Makhnovets |first3=Vitalii |last4=Phetdara |first4=Tim |last5=Thang |first5=Jimmy |date=2025-03-13 |title=NVIDIA is Selling Lies {{!}} RTX 5070 Founders Edition Review & Benchmarks |url=https://gamersnexus.net/gpus/nvidia-selling-lies-rtx-5070-founders-edition-review-benchmarks |url-status=live |access-date=2026-01-15 |website=GamersNexus}}</ref>
Nvidia on stage when introducing the RTX 5070 on stage, branded it as having the same performance as a RTX 4090 but for half the price.<ref>{{Cite web |last=Leadbetter |first=Richard |date=2025-01-13 |title=DF Weekly: can the new RTX 5070 really match RTX 4090 performance? |url=https://www.digitalfoundry.net/articles/digitalfoundry-2025-df-weekly-can-the-new-rtx-5070-really-match-rtx-4090-performance |url-status=live |access-date=2026-01-15 |website=Digital Foundry |archive-url=http://web.archive.org/web/20251221142730/https://www.digitalfoundry.net/articles/digitalfoundry-2025-df-weekly-can-the-new-rtx-5070-really-match-rtx-4090-performance |archive-date=21 Dec 2025}}</ref> This disingenious marketing was disproven by multiple credible reviewers who showed that the 5070, even when using MFG 4x Frame Generation could not achieve parity with the 4090.<ref>{{Cite web |last=Burke |first=Steve |last2=Gaglione |first2=Mike |last3=Makhnovets |first3=Vitalii |last4=Phetdara |first4=Tim |last5=Thang |first5=Jimmy |date=2025-03-13 |title=NVIDIA is Selling Lies {{!}} RTX 5070 Founders Edition Review & Benchmarks |url=https://gamersnexus.net/gpus/nvidia-selling-lies-rtx-5070-founders-edition-review-benchmarks |url-status=live |access-date=2026-01-15 |website=GamersNexus}} ([http://web.archive.org/web/20251006224834/https://gamersnexus.net/gpus/nvidia-selling-lies-rtx-5070-founders-edition-review-benchmarks Archived])</ref>


===GeForce previews (''2025.03.01 - Present'')===
===GeForce previews (''2025.03.01 - Present'')===
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===Threatening Gamers Nexus (''2025.05.18'')===
===Threatening Gamers Nexus (''2025.05.18'')===
{{Main|Nvidia threatens GamersNexus}}
{{Main|Nvidia threatens GamersNexus}}
On May 18, 2025, GamersNexus, a pro consumer tech publication and YouTube channel, uploaded a video to their YouTube channel exposing Nvidia's scheme of threatening them. Nvidia strongly suggested to GN that access to their engineers for future interviews would only be possible if GN underwent an editorial change according to Nvidia's specification. The company's ransom was for more postive and longer emphasis on their new MFG (Multi-frame Generation) technology in GN's future reviews of their GPUs.<ref name=":0">{{Cite web |last=Nexus |first=Gamers |date=2025-05-18 |title=NVIDIA's Dirty Manipulation of Reviews |url=https://www.youtube.com/watch?v=AiekGcwaIho |url-status=live |archive-date= |access-date=2025-07-11 |website=YouTube}}</ref>
On May 18, 2025, GamersNexus, a pro consumer tech publication and YouTube channel, uploaded a video to their YouTube channel exposing Nvidia's scheme of threatening them. Nvidia strongly suggested to GN that access to their engineers for future interviews would only be possible if GN underwent an editorial change according to Nvidia's specification. The company's ransom was for more postive and longer emphasis on their new MFG (Multi-frame Generation) technology in GN's future reviews of their GPUs.<ref name=":0">{{Cite web |last=Nexus |first=Gamers |date=2025-05-18 |title=NVIDIA's Dirty Manipulation of Reviews |url=https://www.youtube.com/watch?v=AiekGcwaIho |url-status=live |archive-date=23 Feb 2026 |access-date=2025-07-11 |website=YouTube |archive-url=https://preservetube.com/watch?v=AiekGcwaIho }}</ref>


===Acquisition of stake in Intel (''2025.12.29'')===
===Acquisition of stake in Intel (''2025.12.29'')===
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===Partnership with [[Palantir]] (''2025.10.28'')===
===Partnership with [[Palantir]] (''2025.10.28'')===
During their GTC Washington keynote, Nvidia announced a strategic partnership with [[Palantir]].<ref>{{Cite web |date=2025-10-28 |title=Palantir and NVIDIA Team Up to Operationalize AI — Turning Enterprise Data Into Dynamic Decision Intelligence |url=https://nvidianews.nvidia.com/news/nvidia-palantir-ai-enterprise-data-intelligence |url-status=live |access-date=2026-01-19}}</ref>
During their GTC Washington keynote, Nvidia announced a strategic partnership with [[Palantir]].<ref>{{Cite web |date=2025-10-28 |title=Palantir and NVIDIA Team Up to Operationalize AI — Turning Enterprise Data Into Dynamic Decision Intelligence |url=https://nvidianews.nvidia.com/news/nvidia-palantir-ai-enterprise-data-intelligence |url-status=live |access-date=2026-01-19 |archive-url=http://web.archive.org/web/20260115055000/https://nvidianews.nvidia.com/news/nvidia-palantir-ai-enterprise-data-intelligence |archive-date=15 Jan 2026}}</ref>


==Products==
==Products==
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==See also==
==See also==
*[[AMD]]
*[[AMD]]
*[[Intel]]
*[[Intel]]
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