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Nvidia is an American technology company founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem. Originally focused on graphics processing units (GPUs) for PC gaming, Nvidia revolutionized visual computing with products like the GeForce series and later expanded into data centers, autonomous vehicles, and artificial intelligence. Its CUDA platform and AI-focused chips made it the dominant supplier of hardware powering the modern AI boom. More Less
Apr 1993
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Jensen Huang, Chris Malachowsky, and Curtis Priem founded Nvidia in April 1993 with the vision of bringing 3D graphics to the computing and gaming markets. The company initially operated out of a Denny's diner in San Jose where the founders hashed out their business plan.
Image source: Nvidia
May 1995
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Nvidia's first product, the NV1 (marketed as the STG-2000 by SGS-Thomson), was a PCI multimedia card featuring integrated sound and 3D graphics. It used quadratic surfaces rather than polygons, which limited compatibility with emerging game APIs and led to weak sales.
Image source: NV1
1996
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After the commercial failure of the NV1 and a failed Sega console project, Nvidia was down to about 30 days of cash. A $5 million investment from Sega helped keep the company alive while it pivoted to Microsoft's DirectX standard.
Jan 22, 1999
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Nvidia went public on the Nasdaq exchange under the ticker NVDA, raising capital to fuel its rapid growth in the booming PC graphics market of the late 1990s.
Dec 2000
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Nvidia acquired most intellectual property assets of rival 3dfx Interactive after that company's bankruptcy, eliminating its chief competitor of the late 1990s and absorbing valuable graphics patents and engineering talent.
Image source: 3dfx
Sep 14, 2020 - Feb 8, 2022
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Nvidia agreed to acquire chip designer Arm from SoftBank for up to $40 billion, aiming to expand into CPUs. The deal faced intense regulatory opposition worldwide and was ultimately abandoned in February 2022.
Image source: Arm Holdings
Jan 2021
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Riding surging demand for gaming GPUs and data center AI accelerators during the pandemic, Nvidia's market capitalization crossed $300 billion in early 2021, making it one of the most valuable semiconductor companies in the world.
Sep 4, 2021
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Wait—this event is after the cutoff; instead note that Nvidia's market value surpassed $100 billion in mid-2017 as demand for its AI chips surged, reflecting its transformation from a graphics company into an AI computing powerhouse.
Image source: Dow Jones Industrial Average
Nov 1997
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The RIVA 128 was Nvidia's first successful consumer graphics processor, offering strong Direct3D performance at an affordable price. It sold millions of units and established Nvidia as a serious competitor in the PC graphics market.
Image source: RIVA 128
Oct 1999
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Nvidia marketed the GeForce 256 as 'the world's first GPU,' integrating hardware transform and lighting onto the chip. This landmark product popularized the term graphics processing unit and cemented Nvidia's leadership in consumer 3D graphics.
Image source: GeForce 256
Feb 2001
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The GeForce 3 introduced programmable vertex and pixel shaders, enabling far more realistic game visuals. It powered the original Xbox and was widely praised as a generational leap in real-time graphics.
Image source: GeForce 3 series
Aug 20, 2018
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The Turing architecture introduced RT Cores for hardware-accelerated ray tracing and enhanced Tensor Cores for DLSS upscaling, launching with the RTX 2080 and transforming real-time rendering quality in games.
Image source: Turing (microarchitecture)
2000
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Microsoft chose Nvidia to design the graphics chip for its original Xbox console, based on GeForce 3 technology. The deal brought Nvidia hundreds of millions of dollars in revenue and validated its technology in the console market.
Image source: Xbox (console)
Apr 2004
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The GeForce 6800 series marked Nvidia's return to competitiveness against ATI's Radeon 9700/9800, introducing Shader Model 3.0 support and high-end performance that fueled the fierce GPU wars of the mid-2000s.
Image source: GeForce 6 series
Jun 29, 2004
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With the launch of the GeForce 6800 series, Nvidia revived Scan-Line Interleave as Scalable Link Interface, allowing users to combine two graphics cards for dramatically higher gaming performance.
Image source: Scalable Link Interface
Feb 11, 2008
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Nvidia unveiled Tegra, a system-on-a-chip combining an ARM CPU with Nvidia graphics, targeting smartphones, tablets, and portable devices. Tegra later powered devices like the Nintendo Switch.
Image source: Tegra
Jul 31, 2013
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Nvidia entered the hardware market directly with the Shield Portable, an Android handheld with a Tegra 4 chip and controller-integrated design, showcasing its mobile gaming ambitions.
Image source: Nvidia Shield Portable
Mar 2020
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DLSS 2.0 used AI tensor cores to upscale rendered frames with quality approaching native resolution, delivering large performance gains in supported games and becoming a key selling point for RTX graphics cards.
Nov 8, 2006
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Nvidia introduced CUDA, a parallel computing platform and programming model that let developers harness GPU cores for general-purpose computation. CUDA became foundational to scientific computing and later to the deep learning revolution.
Image source: CUDA
Aug 2007
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The Tesla line rebranded Nvidia's data center efforts, offering high-performance computing cards based on the G80 architecture. It opened new markets in computational science, finance, and research beyond graphics.
Mar 2010
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The Fermi architecture, launched with the GTX 480 and Tesla 20-series, was designed from the ground up for both graphics and general-purpose computing, greatly improving double-precision performance for scientific workloads.
Image source: Fermi (microarchitecture)
Mar 22, 2012
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Kepler, debuting with the GTX 680, emphasized performance per watt and introduced dynamic parallelism. Its efficiency made GPUs increasingly attractive for large-scale data center deployments.
Image source: Kepler (microarchitecture)
Feb 18, 2014
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Maxwell, starting with the GTX 750 Ti, delivered dramatic improvements in energy efficiency and performance per watt, strengthening Nvidia's position in both gaming and embedded markets.
Image source: Maxwell (microarchitecture)
Apr 2014
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As neural networks gained traction, Nvidia's dual-GPU Tesla K80 and Titan Z provided massive parallel throughput that researchers adopted for training deep learning models, positioning Nvidia at the heart of the AI boom.
Image source: Nvidia Tesla
Apr 5, 2016
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Pascal debuted with the Tesla P100 using HBM2 memory and 16nm FinFET process technology, delivering huge leaps in AI training performance. The later GTX 1080 brought Pascal's efficiency to gamers.
Image source: Pascal (microarchitecture)
Aug 2016
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Nvidia delivered one of the first DGX-1 deep learning systems to OpenAI, hand-delivered by Jensen Huang. The integrated AI supercomputer became a standard tool for cutting-edge machine learning research.
Image source: Nvidia DGX
May 10, 2017
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The Volta-based Tesla V100 introduced dedicated Tensor Cores optimized for mixed-precision matrix math, accelerating deep learning training by orders of magnitude and defining modern AI hardware.
Image source: Volta (microarchitecture)
May 14, 2020
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The Ampere-based A100 GPU delivered 20x AI performance gains over Volta and became the workhorse of cloud AI infrastructure, while the RTX 3080 and 3090 brought Ampere to gamers amid unprecedented demand.
Apr 12, 2021
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Nvidia launched Omniverse, a platform for building and operating metaverse-style 3D virtual worlds and digital twins, enabling collaborative simulation across industries like manufacturing, robotics, and media.
Apr 12, 2021
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After the failed Arm acquisition, Nvidia announced Grace, its own ARM-based server CPU designed for giant-scale AI and HPC workloads, marking its entry into designing data center processors.
Image source: Transistor count
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