On July 29, 2013, Nvidia announced that they acquired PGI from STMicroelectronics. Nvidia claimed that the chip featured the first-ever quad-core mobile CPU. On January 10, 2011, Nvidia signed a six-year, $1.5 billion cross-licensing agreement with Intel, ending all litigation between the two companies. On January 5, 2007, Nvidia announced that it had completed the acquisition of PortalPlayer, Inc. Department of Justice regarding possible antitrust violations in the graphics card industry. In December 2006, Nvidia, along with its main rival in the graphics industry AMD (which had acquired ATI), received subpoenas from the U.S.
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The company's deep learning technology led to a boost in its 2017 earnings. Some users claim that Nvidia's Linux drivers impose artificial restrictions, like limiting the number of monitors that can be used at the same time, but the company has not commented on these accusations. Until September 23, 2013, Nvidia had not published any documentation for its advanced hardware, meaning that programmers could not write free and open-source device drivers for its products without resorting to reverse engineering. Nvidia focuses its own resources on product design, quality assurance, marketing, and customer support. On October 29, 2025, Nvidia became the first company to reach a market capitalization of $5 trillion. This "circularity" is estimated at $35 billion in new Nvidia chips bought by OpenAI, for every $10 billion Nvidia invests in OpenAI.
Open-source software support
Nvidia claimed that both models outperformed its Maxwell-based Titan X model; the models incorporate GDDR5X and GDDR5 memory respectively, and use a 16 nm manufacturing process. Court of Appeals for the Ninth Circuit affirmed the "district court's judgment affirming the bankruptcy court's determination that Nvidia did not pay less than fair market value for assets purchased from 3dfx shortly before 3dfx filed for bankruptcy". As Huang explained in a blog post, the triangle is "the fundamental building block of computer graphics". In February 2013, Nvidia announced its plans to build a new headquarters in the form of two giant triangle-shaped buildings on the other side of San Tomas Expressway (to the west of its existing headquarters complex).
RTX Dynamic Vibrance
The architecture also supports a new hardware feature known as simultaneous multi-projection (SMP), which is designed to improve the quality of multi-monitor and virtual reality (VR) rendering. On May 6, 2016, Nvidia unveiled the first GPUs of the GeForce 10 series, the GTX 1080 and 1070, based on the company's new Pascal microarchitecture. In January 2013, Nvidia unveiled the Tegra 4, as well as the Nvidia Shield, an Android-based handheld game console powered by the new system on a chip.
- However, the company failed to disclose that it was a “significant element” of its revenue growth from sales of chips designed for gaming, the SEC further added in a statement and charging order.
- For its strength, size and market capitalization, Nvidia has been selected to be one of Bloomberg’s “Magnificent Seven”, the seven biggest companies on the stock market in these regards.
- In 1998, the release of the RIVA TNT helped solidify Nvidia’s reputation as a leader in graphics technology.
- In September 2022, Nvidia announced a collaboration with the Broad Institute of MIT and Harvard related to the entire suite of Nvidia’s AI-powered healthcare software suite called Clara, that includes Parabricks and MONAI.
- It became the first company in the world to surpass US$4 trillion and US$5 trillion milestones in market capitalization in 2025, driven by rising global demand for data center hardware in the midst of the AI boom.
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- That year, the Google Brain team used Nvidia GPUs to create deep neural networks capable of machine learning, where Andrew Ng determined that GPUs could increase the speed of deep learning systems by about 100 times.
- This was the first time the company mentioned that they would work together with Intel’s upcoming foundry services.
- As a result, as of 2025, Nvidia controlled more than 80% of the market for GPUs used in training and deploying AI models, and provided chips for over 75% of the world’s TOP500 supercomputers.
- Until September 23, 2013, Nvidia had not published any documentation for its advanced hardware, meaning that programmers could not write free and open-source device drivers for its products without resorting to reverse engineering.
- The company’s product lines include GeForce GPUs for gaming and creative workloads, and professional GPUs for edge computing, scientific research, and industrial applications.
At GTC 2025, Nvidia unveiled its next-generation AI hardware, the Blackwell Ultra and Vera Rubin chips, signaling a leap toward agentic AI and reasoning-capable computing. On September 22, 2025, Nvidia and OpenAI announced a partnership wherein Nvidia would invest $100 billion into OpenAI, and OpenAI would use Nvidia chips and systems in new data centers. China’s internet regulator banned the country’s largest technology companies from buying Nvidia’s artificial intelligence chips as part of efforts to strengthen the domestic industry and compete with the United States. It became the first company in the world to surpass US$4 trillion and US$5 trillion milestones in market capitalization in 2025, driven by rising global demand for data center hardware in the midst of the AI boom. "Our partnership with Synopsys harnesses the power of NVIDIA accelerated computing and AI to reimagine engineering and design — empowering engineers to invent the extraordinary products that will shape our future." R&D teams, from the semiconductor industry to aerospace, automotive, industrial and beyond face significant engineering challenges including increasing workflow complexity, escalating development costs and time-to-market pressure.
In August 2025, Nvidia ordered suppliers to halt production of its H20 AI chip following Chinese government directives warning domestic companies against purchasing the processor due to security concerns. In 2018, Nvidia's chips became popular for cryptomining, the process of obtaining crypto rewards in exchange for verifying transactions on distributed ledgers, the U.S. Linus Sebastian, of Linus Tech Tips, titled the episode of his weekly WAN Show, "NVIDIA might ACTUALLY be EVIL…" and was highly critical of the company's move to dictate specific outcomes of technology reviews. Additionally, it was revealed that the card was designed to access its memory as a 3.5 GB section, plus a 0.5 GB one, access to the latter being 7 times slower than the first one. The card's back-end hardware specifications, initially announced as being identical to those of the GeForce GTX 980, differed in the amount of L2 cache (1.75 MB versus 2 MB in the GeForce GTX 980) and the number of ROPs (56 versus 64 in the 980).
These GPUs are used by researchers, laboratories, tech companies and enterprise companies. Support for Nvidia's firmware was implemented in nouveau in 2023, which allows proper power management and GPU reclocking for Turing and newer graphics card generations. On May 12, 2022, Nvidia announced that they are opensourcing their GPU kernel modules. In 2014, with its Maxwell GPUs, Nvidia started to require firmware by them to unlock all features of its graphics cards.
Nvidia also provided but stopped supporting an obfuscated open-source driver that only supports two-dimensional hardware acceleration and ships with the X.Org distribution. Instead, Nvidia provides its own binary GeForce graphics drivers for X.Org and an open-source library that interfaces with the Linux, FreeBSD or Solaris kernels and the proprietary graphics software. The announcement also introduced Isaac GR00T N1 (humanoid robotics model), Cosmos (synthetic training data AI), and the Newton physics engine, developed in collaboration with DeepMind and Disney Research. Huang projected that AI-driven infrastructure would drive Nvidia's data center revenue to $1 trillion by 2028. ] the conference's focus has shifted to various applications of artificial intelligence and deep learning; including self-driving cars, healthcare, high-performance computing, and Nvidia Deep Learning Institute (DLI) training.
On July 29, 2025, Nvidia ordered 300,000 H20 AI chips from Taiwan Semiconductor Manufacturing Company (TSMC) due to strong demand from Chinese tech firms like Tencent and Alibaba. On July 10, 2025, Nvidia closed for the first time with a market cap above $4 trillion, after its market cap briefly touched and then retreated from that number during the previous day. In July 2025, it was announced that Nvidia had acquired CentL, a Canadian-based AI firm.
On December 14, 2005, Nvidia acquired ULI Electronics, which at the time supplied third-party southbridge parts for chipsets to ATI, Nvidia's competitor. In December 2004, it was announced that Nvidia would assist Sony with the design of the graphics processor (RSX) for the PlayStation 3 game console. In December 2000, Nvidia reached an agreement to acquire the intellectual assets of its one-time rival 3dfx, a pioneer in consumer 3D graphics technology leading the field from the mid-1990s until 2000. Because its products were performing well, Nvidia won the contract to develop the graphics hardware for Microsoft’s Xbox game console, which included a $200 million advance. Priem originally wanted to call it the "GXNV", as in the "next version" of the GX graphics chips which he had worked on at Sun. The three co-founders envisioned graphics-based processing as the best trajectory for tackling challenges that had eluded general-purpose computing methods.
In May 2018, on the Nvidia user forum, a thread was started asking the company to update users when they would release web drivers for its cards installed on legacy Mac Pro machines up to mid ,1 running the macOS Mojave operating system 10.14. In 2018, Google announced that Nvidia's Tesla P4 graphic cards would be integrated into Google Cloud service's artificial intelligence. In May 2017, Nvidia spinnaus casino review announced a partnership with Toyota which would use Nvidia's Drive PX-series artificial intelligence platform for its autonomous vehicles. Laptops that include these GPUs and are sufficiently thin – as of late 2017, under 0.8 inches (20 mm) – have been designated as meeting Nvidia's "Max-Q" design standard.