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GeForce

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GeForce
Top: Logo since 2022
Bottom: The most recent flagship model, the GeForce RTX 4090, in the Founders Edition in its retail box
Release dateAugust 31, 1999; 25 years ago (1999-08-31)
Manufactured by
Designed byNvidia
Marketed byNvidia
Models
CoresUp to 16,384 CUDA cores
Fabrication process220 nm to 3 nm
History
PredecessorRIVA TNT2
VariantNvidia Quadro, Nvidia Tesla

GeForce is a brand of graphics processing units (GPUs) designed by Nvidia and marketed for the performance market. As of the GeForce 40 series, there have been eighteen iterations of the design. The first GeForce products were discrete GPUs designed for add-on graphics boards, intended for the high-margin PC gaming market, and later diversification of the product line covered all tiers of the PC graphics market, ranging from cost-sensitive[1] GPUs integrated on motherboards, to mainstream add-in retail boards. Most recently,[when?] GeForce technology[vague] has been introduced into Nvidia's line of embedded application processors, designed for electronic handhelds and mobile handsets.

With respect to discrete GPUs, found in add-in graphics-boards, Nvidia's GeForce and AMD's Radeon GPUs are the only remaining competitors in the high-end market. GeForce GPUs are very dominant in the general-purpose graphics processor unit (GPGPU) market thanks to their proprietary Compute Unified Device Architecture (CUDA).[2] GPGPU is expected to expand GPU functionality beyond the traditional rasterization of 3D graphics, to turn it into a high-performance computing device able to execute arbitrary programming code in the same way a CPU does, but with different strengths (highly parallel execution of straightforward calculations) and weaknesses (worse performance for complex branching code).

Name origin

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The "GeForce" name originated from a contest held by Nvidia in early 1999 called "Name That Chip". The company called out to the public to name the successor to the RIVA TNT2 line of graphics boards. There were over 12,000 entries received and seven winners received a RIVA TNT2 Ultra graphics card as a reward.[3][4] Brian Burke, senior PR manager at Nvidia, told Maximum PC in 2002 that "GeForce" originally stood for "Geometry Force" since GeForce 256 was the first GPU for personal computers to calculate the transform-and-lighting geometry, offloading that function from the CPU.[5]

Graphics processor generations

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Generations timeline
1999GeForce 256
2000GeForce 2 series
2001GeForce 3 series
2002GeForce 4 series
2003GeForce FX series
2004GeForce 6 series
2005GeForce 7 series
2006GeForce 8 series
2007
2008GeForce 9 series
GeForce 200 series
2009GeForce 100 series
GeForce 300 series
2010GeForce 400 series
GeForce 500 series
2011
2012GeForce 600 series
2013GeForce 700 series
2014GeForce 800M series
GeForce 900 series
2015
2016GeForce 10 series
2017
2018GeForce 20 series
2019GeForce 16 series
2020GeForce 30 series
2021
2022GeForce 40 series

GeForce 256

[edit]

GeForce 2 series

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Launched in March 2000, the first GeForce2 (NV15) was another high-performance graphics chip. Nvidia moved to a twin texture processor per pipeline (4x2) design, doubling texture fillrate per clock compared to GeForce 256. Later, Nvidia released the GeForce2 MX (NV11), which offered performance similar to the GeForce 256 but at a fraction of the cost. The MX was a compelling value in the low/mid-range market segments and was popular with OEM PC manufacturers and users alike. The GeForce 2 Ultra was the high-end model in this series.

GeForce 3 series

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Launched in February 2001, the GeForce3 (NV20) introduced programmable vertex and pixel shaders to the GeForce family and to consumer-level graphics accelerators. It had good overall performance and shader support, making it popular with enthusiasts although it never hit the midrange price point. The NV2A developed for the Microsoft Xbox game console is a derivative of the GeForce 3.

GeForce 4 series

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Launched in February 2002, the then-high-end GeForce4 Ti (NV25) was mostly a refinement to the GeForce3. The biggest advancements included enhancements to anti-aliasing capabilities, an improved memory controller, a second vertex shader, and a manufacturing process size reduction to increase clock speeds. Another member of the GeForce 4 family, the budget GeForce4 MX was based on the GeForce2, with the addition of some features from the GeForce4 Ti. It targeted the value segment of the market and lacked pixel shaders. Most of these models used the AGP 4× interface, but a few began the transition to AGP 8×.

GeForce FX series

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Launched in 2003, the GeForce FX (NV30) was a huge change in architecture compared to its predecessors. The GPU was designed not only to support the new Shader Model 2 specification but also to perform well on older titles. However, initial models like the GeForce FX 5800 Ultra suffered from weak floating point shader performance and excessive heat which required infamously noisy two-slot cooling solutions. Products in this series carry the 5000 model number, as it is the fifth generation of the GeForce, though Nvidia marketed the cards as GeForce FX instead of GeForce 5 to show off "the dawn of cinematic rendering".

GeForce 6 series

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Launched in April 2004, the GeForce 6 (NV40) added Shader Model 3.0 support to the GeForce family, while correcting the weak floating point shader performance of its predecessor. It also implemented high-dynamic-range imaging and introduced SLI (Scalable Link Interface) and PureVideo capability (integrated partial hardware MPEG-2, VC-1, Windows Media Video, and H.264 decoding and fully accelerated video post-processing).

GeForce 7 series

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The seventh generation GeForce (G70/NV47) was launched in June 2005 and was the last Nvidia video card series that could support the AGP bus. The design was a refined version of GeForce 6, with the major improvements being a widened pipeline and an increase in clock speed. The GeForce 7 also offers new transparency supersampling and transparency multisampling anti-aliasing modes (TSAA and TMAA). These new anti-aliasing modes were later enabled for the GeForce 6 series as well. The GeForce 7950GT featured the highest performance GPU with an AGP interface in the Nvidia line. This era began the transition to the PCI-Express interface.

A 128-bit, eight render output unit (ROP) variant of the 7800 GTX, called the RSX Reality Synthesizer, is used as the main GPU in the Sony PlayStation 3.

GeForce 8 series

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Released on November 8, 2006, the eighth-generation GeForce (originally called G80) was the first ever GPU to fully support Direct3D 10. Manufactured using a 90 nm process and built around the new Tesla microarchitecture, it implemented the unified shader model. Initially just the 8800GTX model was launched, while the GTS variant was released months into the product line's life, and it took nearly six months for mid-range and OEM/mainstream cards to be integrated into the 8 series. The die shrink down to 65 nm and a revision to the G80 design, codenamed G92, were implemented into the 8 series with the 8800GS, 8800GT and 8800GTS-512, first released on October 29, 2007, almost one whole year after the initial G80 release.

GeForce 9 series and 100 series

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The first product was released on February 21, 2008.[6] Not even four months older than the initial G92 release, all 9-series designs are simply revisions to existing late 8-series products. The 9800GX2 uses two G92 GPUs, as used in later 8800 cards, in a dual PCB configuration while still only requiring a single PCI-Express 16x slot. The 9800GX2 utilizes two separate 256-bit memory busses, one for each GPU and its respective 512 MB of memory, which equates to an overall of 1 GB of memory on the card (although the SLI configuration of the chips necessitates mirroring the frame buffer between the two chips, thus effectively halving the memory performance of a 256-bit/512 MB configuration). The later 9800GTX features a single G92 GPU, 256-bit data bus, and 512 MB of GDDR3 memory.[7]

Prior to the release, no concrete information was known except that the officials claimed the next generation products had close to 1 TFLOPS processing power with the GPU cores still being manufactured in the 65 nm process, and reports about Nvidia downplaying the significance of Direct3D 10.1.[8] In March 2009, several sources reported that Nvidia had quietly launched a new series of GeForce products, namely the GeForce 100 Series, which consists of rebadged 9 Series parts.[9][10][11] GeForce 100 series products were not available for individual purchase.[1]

GeForce 200 series and 300 series

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Based on the GT200 graphics processor consisting of 1.4 billion transistors, codenamed Tesla, the 200 series was launched on June 16, 2008.[12] The next generation of the GeForce series takes the card-naming scheme in a new direction, by replacing the series number (such as 8800 for 8-series cards) with the GTX or GTS suffix (which used to go at the end of card names, denoting their 'rank' among other similar models), and then adding model-numbers such as 260 and 280 after that. The series features the new GT200 core on a 65nm die.[13] The first products were the GeForce GTX 260 and the more expensive GeForce GTX 280.[14] The GeForce 310 was released on November 27, 2009, which is a rebrand of GeForce 210.[15][16] The 300 series cards are rebranded DirectX 10.1 compatible GPUs from the 200 series, which were not available for individual purchase.

GeForce 400 series and 500 series

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On April 7, 2010, Nvidia released[17] the GeForce GTX 470 and GTX 480, the first cards based on the new Fermi architecture, codenamed GF100; they were the first Nvidia GPUs to utilize 1 GB or more of GDDR5 memory. The GTX 470 and GTX 480 were heavily criticized due to high power use, high temperatures, and very loud noise that were not balanced by the performance offered, even though the GTX 480 was the fastest DirectX 11 card as of its introduction.

In November 2010, Nvidia released a new flagship GPU based on an enhanced GF100 architecture (GF110) called the GTX 580. It featured higher performance, less power utilization, heat and noise than the preceding GTX 480. This GPU received much better reviews than the GTX 480. Nvidia later also released the GTX 590, which packs two GF110 GPUs on a single card.

GeForce 600 series, 700 series and 800M series

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Asus Nvidia GeForce GTX 650 Ti, a PCI Express 3.0 ×16 graphics card

In September 2010, Nvidia announced that the successor to Fermi microarchitecture would be the Kepler microarchitecture, manufactured with the TSMC 28 nm fabrication process. Earlier, Nvidia had been contracted to supply their top-end GK110 cores for use in Oak Ridge National Laboratory's "Titan" supercomputer, leading to a shortage of GK110 cores. After AMD launched their own annual refresh in early 2012, the Radeon HD 7000 series, Nvidia began the release of the GeForce 600 series in March 2012. The GK104 core, originally intended for their mid-range segment of their lineup, became the flagship GTX 680. It introduced significant improvements in performance, heat, and power efficiency compared to the Fermi architecture and closely matched AMD's flagship Radeon HD 7970. It was quickly followed by the dual-GK104 GTX 690 and the GTX 670, which featured only a slightly cut-down GK104 core and was very close in performance to the GTX 680.

With the GTX Titan, Nvidia also released GPU Boost 2.0, which would allow the GPU clock speed to increase indefinitely until a user-set temperature limit was reached without passing a user-specified maximum fan speed. The final GeForce 600 series release was the GTX 650 Ti BOOST based on the GK106 core, in response to AMD's Radeon HD 7790 release. At the end of May 2013, Nvidia announced the 700 series, which was still based on the Kepler architecture, however it featured a GK110-based card at the top of the lineup. The GTX 780 was a slightly cut-down Titan that achieved nearly the same performance for two-thirds of the price. It featured the same advanced reference cooler design, but did not have the unlocked double-precision cores and was equipped with 3 GB of memory.

At the same time, Nvidia announced ShadowPlay, a screen capture solution that used an integrated H.264 encoder built into the Kepler architecture that Nvidia had not revealed previously. It could be used to record gameplay without a capture card, and with negligible performance decrease compared to software recording solutions, and was available even on the previous generation GeForce 600 series cards. The software beta for ShadowPlay, however, experienced multiple delays and would not be released until the end of October 2013. A week after the release of the GTX 780, Nvidia announced the GTX 770 to be a rebrand of the GTX 680. It was followed by the GTX 760 shortly after, which was also based on the GK104 core and similar to the GTX 660 Ti. No more 700 series cards were set for release in 2013, although Nvidia announced G-Sync, another feature of the Kepler architecture that Nvidia had left unmentioned, which allowed the GPU to dynamically control the refresh rate of G-Sync-compatible monitors which would release in 2014, to combat tearing and judder. However, in October, AMD released the R9 290X, which came in at $100 less than the GTX 780. In response, Nvidia slashed the price of the GTX 780 by $150 and released the GTX 780 Ti, which featured a full 2880-core GK110 core even more powerful than the GTX Titan, along with enhancements to the power delivery system which improved overclocking, and managed to pull ahead of AMD's new release.

The GeForce 800M series consists of rebranded 700M series parts based on the Kepler architecture and some lower-end parts based on the newer Maxwell architecture.

GeForce 900 series

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In March 2013, Nvidia announced that the successor to Kepler would be the Maxwell microarchitecture. It was released in September 2014, with the GM10x series chips, emphasizing the new power efficiency architectural improvements in OEM, and low TDP products in desktop GTX 750/750 ti, and mobile GTX 850M/860M. Later that year Nvidia pushed the TDP with the GM20x chips for power users, skipping the 800 series for desktop entirely, with the 900 series of GPUs.

This was the last GeForce series to support analog video output through DVI-I. Although, analog display adapters exist and are able to convert a digital Display Port, HDMI, or DVI-D (Digital).

GeForce 10 series

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In March 2014, Nvidia announced that the successor to Maxwell would be the Pascal microarchitecture; announced on May 6, 2016, and were released several weeks later on May 27 and June 10, respectively. Architectural improvements include the following:[18][19]

  • In Pascal, an SM (streaming multiprocessor) consists of 128 CUDA cores. Kepler packed 192, Fermi 32 and Tesla only 8 CUDA cores into an SM; the GP100 SM is partitioned into two processing blocks, each having 32 single-precision CUDA Cores, an instruction buffer, a warp scheduler, 2 texture mapping units and 2 dispatch units.
  • GDDR5X – New memory standard supporting 10 Gbit/s data rates and an updated memory controller. Only the Nvidia Titan X (and Titan Xp), GTX 1080, GTX 1080 Ti, and GTX 1060 (6 GB Version) support GDDR5X. The GTX 1070 Ti, GTX 1070, GTX 1060 (3 GB version), GTX 1050 Ti, and GTX 1050 use GDDR5.[20]
  • Unified memory – A memory architecture, where the CPU and GPU can access both main system memory and memory on the graphics card with the help of a technology called "Page Migration Engine".
  • NVLink – A high-bandwidth bus between the CPU and GPU, and between multiple GPUs. Allows much higher transfer speeds than those achievable by using PCI Express; estimated to provide between 80 and 200 GB/s.[21][22]
  • 16-bit (FP16) floating-point operations can be executed at twice the rate of 32-bit floating-point operations ("single precision")[23] and 64-bit floating-point operations ("double precision") executed at half the rate of 32-bit floating point operations (Maxwell 1/32 rate).[24]
  • More advanced process node, TSMC 12 nm instead of the older TSMC 28 nm

GeForce 20 series and 16 series

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In August 2018, Nvidia announced the GeForce successor to Pascal. The new microarchitecture name was revealed as "Turing" at the Siggraph 2018 conference.[25] This new GPU microarchitecture is aimed to accelerate the real-time ray tracing support and AI Inferencing. It features a new Ray Tracing unit (RT Core) which can dedicate processors to the ray tracing in hardware. It supports the DXR extension in Microsoft DirectX 12. Nvidia claims the new architecture is up to 6 times faster than the older Pascal architecture.[26][27] A whole new Tensor core design since Volta introduces AI deep learning acceleration, which allows the utilisation of DLSS (Deep Learning Super Sampling), a new form of anti-aliasing that uses AI to provide crisper imagery with less impact on performance.[28] It also changes its integer execution unit which can execute in parallel with the floating point data path. A new unified cache architecture which doubles its bandwidth compared with previous generations was also announced.[29]

The new GPUs were revealed as the Quadro RTX 8000, Quadro RTX 6000 and Quadro RTX 5000. The high end Quadro RTX 8000 features 4,608 CUDA cores and 576 Tensor cores with 48 GB of VRAM.[26] Later during the Gamescom press conference, Nvidia's CEO Jensen Huang, unveiled the new GeForce RTX series with RTX 2080 Ti, 2080, and 2070 that will use the Turing architecture. The first Turing cards were slated to ship to consumers on September 20, 2018.[30] Nvidia announced the RTX 2060 on January 6, 2019, at CES 2019.[31]

On July 2, 2019, Nvidia announced the GeForce RTX Super line of cards, a 20 series refresh which comprises higher-spec versions of the RTX 2060, 2070 and 2080. The RTX 2070 and 2080 were discontinued.

In February 2019, Nvidia announced the GeForce 16 series. It is based on the same Turing architecture used in the GeForce 20 series, but disabling the Tensor (AI) and RT (ray tracing) cores to provide more affordable graphic cards for gamers while still attaining a higher performance compared to respective cards of the previous GeForce generations.

Like the RTX Super refresh, Nvidia on October 29, 2019, announced the GTX 1650 Super and 1660 Super cards, which replaced their non-Super counterparts.

On June 28, 2022, Nvidia quietly released their GTX 1630 card, which was meant for low-end gamers.

GeForce 30 series

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Nvidia officially announced at the GeForce Special Event that the successor to GeForce 20 series will be the 30 series, it is built on the Ampere microarchitecture. The GeForce Special Event introduced took place on September 1, 2020, and set September 17th as the official release date for the RTX 3080 GPU, September 24th for the RTX 3090 GPU and October 29th for the RTX 3070 GPU.[32][33] With the latest GPU launch being the RTX 3090 Ti. The RTX 3090 Ti is the highest-end Nvidia GPU on the Ampere microarchitecture, it features a fully unlocked GA102 die built on the Samsung 8 nm node due to supply shortages with TSMC. The RTX 3090 Ti has 10,752 CUDA cores, 336 Tensor cores and texture mapping units, 112 ROPs, 84 RT cores, and 24 gigabytes of GDDR6X memory with a 384-bit bus.[34] When compared to the RTX 2080 Ti, the 3090 Ti has 6,400 more CUDA cores. Due to the global chip shortage, the 30 series was controversial as scalpers and high demand meant that GPU prices skyrocketed for the 30 series and the AMD RX 6000 series.

GeForce 40 series (Current)

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On September 20, 2022, Nvidia announced its GeForce 40 Series graphics cards.[35] These came out as the RTX 4090, on October 12, 2022, the RTX 4080, on November 16, 2022, the RTX 4070 Ti, on January 3, 2023, with the RTX 4070, on April 13, 2023, and the RTX 4060 Ti on May 24, 2023, and the RTX 4060, following in June 29, 2023. More 40-series are due in 2024-2025, such as the RTX 4050. These are built on the Ada Lovelace architecture, with current part numbers being, "AD102", "AD103", "AD104" "AD106" and "AD107". These parts are manufactured using the TSMC N4 process node which is a custom-designed process for Nvidia. The RTX 4090 is currently the fastest chip for the mainstream market that has been released by a major company, consisting of around 16,384 CUDA cores, boost clocks of 2.2 / 2.5 GHz, 24 GB of GDDR6X, a 384-bit memory bus, 128 3rd gen RT cores, 512 4th gen Tensor cores, DLSS 3.0 and a TDP of 450W.[36] As of October 2024, the RTX 4090 was officially discontinued, marking the end of a two-year production run, in order to free up production space for the coming RTX 50 series.

Notably, a China-only edition of the RTX 4090 was released, named the RTX 4090D (Dragon). The RTX 4090D features a shaved down AD102 die with 14592 CUDA cores, down from 16384 cores of the original 4090. This was primarily owing to the United States Department of Commerce beginning the enactment of restrictions on the Nvidia RTX 4090 for export to certain countries in 2023. This was targeted mainly towards China as an attempt to halt its AI development.

The 40 series saw Nvidia re-releasing the 'Super' variant of graphics cards, not seen since the 20 series, as well as being the first generation in Nvidia's lineup to combine both 'Super' and 'Ti' brandings together. This began with the release of the RTX 4070 Super in January 17, 2024, following with the RTX 4070 Ti Super in January 24, 2024, and the RTX 4080 Super in January 31, 2024.

Variants

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Mobile GPUs

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An Nvidia GeForce Go 7600 chip soldered onto the motherboard of a HP Pavilion dv9000 series laptop

Since the GeForce 2 series, Nvidia has produced a number of graphics chipsets for notebook computers under the GeForce Go branding. Most of the features present in the desktop counterparts are present in the mobile ones. These GPUs are generally optimized for lower power consumption and less heat output in order to be used in notebook PCs and small desktops.

Beginning with the GeForce 8 series, the GeForce Go brand was discontinued and the mobile GPUs were integrated with the main line of GeForce GPUs, but their name suffixed with an M. This ended in 2016 with the launch of the laptop GeForce 10 series – Nvidia dropped the M suffix, opting to unify the branding between their desktop and laptop GPU offerings, as notebook Pascal GPUs are almost as powerful as their desktop counterparts (something Nvidia tested with their "desktop-class" notebook GTX 980 GPU back in 2015).[37]

The GeForce MX brand, previously used by Nvidia for their entry-level desktop GPUs, was revived in 2017 with the release of the GeForce MX150 for notebooks.[38] The MX150 is based on the same Pascal GP108 GPU as used on the desktop GT 1030,[39] and was quietly released in June 2017.[38]

Small form factor GPUs

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Similar to the mobile GPUs, Nvidia also released a few GPUs in "small form factor" format, for use in all-in-one desktops. These GPUs are suffixed with an S, similar to the M used for mobile products.[40]

Integrated desktop motherboard GPUs

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Beginning with the nForce 4, Nvidia started including onboard graphics solutions in their motherboard chipsets. These were called mGPUs (motherboard GPUs).[41] Nvidia discontinued the nForce range, including these mGPUs, in 2009.[42]

After the nForce range was discontinued, Nvidia released their Ion line in 2009, which consisted of an Intel Atom CPU partnered with a low-end GeForce 9 series GPU, fixed on the motherboard. Nvidia released an upgraded Ion 2 in 2010, this time containing a low-end GeForce 300 series GPU.

Nomenclature

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From the GeForce 4 series until the GeForce 9 series, the naming scheme below is used.

Category
of graphics card
Number
range
Suffix[a] Price range[b]
(USD)
Shader
amount[c]
Memory Example products
Type Bus width Size
Entry-level 000–550 SE, LE, no suffix, GS, GT, Ultra < $100 < 25% DDR, DDR2 25–50% ~25% GeForce 9400 GT, GeForce 9500 GT
Mid-range 600–750 VE, LE, XT, no suffix, GS, GSO, GT, GTS, Ultra $100–175 25–50% DDR2, GDDR3 50–75% 50–75% GeForce 9600 GT, GeForce 9600 GSO
High-end 800–950 VE, LE, ZT, XT, no suffix, GS, GSO, GT, GTO,
GTS, GTX, GTX+, Ultra, Ultra Extreme, GX2
> $175 50–100% GDDR3 75–100% 50–100% GeForce 9800 GT, GeForce 9800 GTX

Since the release of the GeForce 100 series of GPUs, Nvidia changed their product naming scheme to the one below.[1]

Category
of graphics card
Prefix Number range
(last 2 digits)
Price range[b]
(USD)
Shader
amount[c]
Memory Example products
Type Bus width Size
Entry-level no prefix, G, GT, GTX[43] 00–45 < $100 < 25% DDR2, DDR3, GDDR3, DDR4, GDDR5, GDDR6 25–50% ~25% GeForce GT 420, GeForce GT 1010, GeForce GTX 1630
Mid-range GTS, GTX, RTX 50–65 $100–300 25–50% GDDR3, GDDR5, GDDR5X, GDDR6 50–75% 50–100% GeForce GTS 450, GeForce GTX 960, GeForce RTX 3050
High-end GTX, RTX 70–95 > $300 50–100% GDDR3, GDDR5, GDDR5X, GDDR6, GDDR6X 75–100% 75–100% GeForce GTX 295, GeForce GTX 1070 Ti, GeForce RTX 2080 Ti
  1. ^ Suffixes indicate its performance layer, and those listed are in order from weakest to most powerful. Suffixes from lesser categories can still be used on higher performance cards, example: GeForce 8800 GT.
  2. ^ a b Price range only applies to the most recent generation and is a generalization based on pricing patterns.
  3. ^ a b Shader amount compares the number of shaders pipelines or units in that particular model range to the highest model possible in the generation.

Graphics device drivers

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Official proprietary

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Nvidia develops and publishes GeForce drivers for Windows 10 x86/x86-64 and later, Linux x86/x86-64/ARMv7-A, OS X 10.5 and later, Solaris x86/x86-64 and FreeBSD x86/x86-64.[44] A current version can be downloaded from Nvidia and most Linux distributions contain it in their own repositories. Nvidia GeForce driver 340.24 from 8 July 2014 supports the EGL interface enabling support for Wayland in conjunction with this driver.[45][46] This may be different for the Nvidia Quadro brand, which is based on identical hardware but features OpenGL-certified graphics device drivers. On the same day the Vulkan graphics API was publicly released, Nvidia released drivers that fully supported it.[47] Nvidia has released drivers with optimizations for specific video games concurrent with their release since 2014, having released 150 drivers supporting 400 games in April 2022.[48]

Basic support for the DRM mode-setting interface in the form of a new kernel module named nvidia-modeset.ko has been available since version 358.09 beta.[49] The support of Nvidia's display controller on the supported GPUs is centralized in nvidia-modeset.ko. Traditional display interactions (X11 modesets, OpenGL SwapBuffers, VDPAU presentation, SLI, stereo, framelock, G-Sync, etc.) initiate from the various user-mode driver components and flow to nvidia-modeset.ko.[50]

In May 2022, Nvidia announced that it would release a partially open-source driver for the (GSP enabled) Turing architecture and newer, in order to enhance the ability for it to be packaged as part of Linux distributions. At launch Nvidia considered the driver to be alpha quality for consumer GPUs, and production ready for datacenter GPUs. Currently the userspace components of the driver (including OpenGL, Vulkan, and CUDA) remain proprietary. In addition, the open-source components of the driver are only a wrapper (CPU-RM[a]) for the GPU System Processor (GSP) firmware, a RISC-V binary blob that is now required for running the open-source driver.[51][52] The GPU System Processor is a RISC-V coprocessor codenamed "Falcon" that is used to offload GPU initialization and management tasks. The driver itself is still split for the host CPU portion (CPU-RM[a]) and the GSP portion (GSP-RM[a]).[53] Windows 11 and Linux propriatery drivers also support enabling GSP and make even gaming faster.[54][55] CUDA supports GSP since version 11.6.[56] Upcoming Linux kernel 6.7 will support GSP in Nouveau.[57][58]

Third-party free and open-source

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Community-created, free and open-source drivers exist as an alternative to the drivers released by Nvidia. Open-source drivers are developed primarily for Linux, however there may be ports to other operating systems. The most prominent alternative driver is the reverse-engineered free and open-source nouveau graphics device driver. Nvidia has publicly announced to not provide any support for such additional device drivers for their products,[59] although Nvidia has contributed code to the Nouveau driver.[60]

Free and open-source drivers support a large portion (but not all) of the features available in GeForce-branded cards. For example, as of January 2014 nouveau driver lacks support for the GPU and memory clock frequency adjustments, and for associated dynamic power management.[61] Also, Nvidia's proprietary drivers consistently perform better than nouveau in various benchmarks.[62] However, as of August 2014 and version 3.16 of the Linux kernel mainline, contributions by Nvidia allowed partial support for GPU and memory clock frequency adjustments to be implemented.[citation needed]

Licensing and privacy issues

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The license has common terms against reverse engineering and copying, and it disclaims warranties and liability.[63][original research?]

Starting in 2016 the GeForce license says Nvidia "SOFTWARE may access, collect non-personally identifiable information about, update, and configure Customer's system in order to properly optimize such system for use with the SOFTWARE."[63] The privacy notice goes on to say, "We are not able to respond to "Do Not Track" signals set by a browser at this time. We also permit third party online advertising networks and social media companies to collect information... We may combine personal information that we collect about you with the browsing and tracking information collected by these [cookies and beacons] technologies."[64]

The software configures the user's system to optimize its use, and the license says, "NVIDIA will have no responsibility for any damage or loss to such system (including loss of data or access) arising from or relating to (a) any changes to the configuration, application settings, environment variables, registry, drivers, BIOS, or other attributes of the system (or any part of such system) initiated through the SOFTWARE".[63]

GeForce Experience

[edit]

GeForce Experience is a program containing several tools, including Nvidia ShadowPlay.[65]

Due to a serious security vulnerability before the March 26, 2019, security update, users of GeForce Experience were vulnerable to remote code execution, denial of service, and privilege escalation attacks.[66] When installing new drivers, GeForce Experience may force the system to restart after a 60-second countdown, without giving the user any choice.

On November 12, 2024, the application was officially replaced with the new Nvidia app with its release of version 1.0.

Nvidia App

[edit]

The Nvidia App is a program that is intended to replace both GeForce Experience and the Nvidia Control Panel.[67] As of August 2024, it is in a beta version and can be downloaded from Nvidia's website. On November 12, 2024, version 1.0 was released,[68] marking its stable release.

New features include an overhauled user interface, a new in-game overlay, support for ShadowPlay with 120 fps, as well as RTX HDR[69][70] and RTX Dynamic Vibrance,[70] which are AI-based in-game filters that enable HDR and increase color saturation in any DirectX 9 (and newer) or Vulkan game, respectively.

The Nvidia App also features Auto Tuning, which adjusts the GPU's clock rate based on regular hardware scans to ensure optimal performance.[71] According to Nvidia, this feature will not cause any damage to the GPU and retain its warranty.[71] However, it might cause instability issues.[72] The feature is similar to the GeForce Experience's "Enable automatic tuning" option, which was released in 2021, with the difference being that this was an one-off overclocking feature[73] that did not adjust the GPU's clock speed on a regular basis.

References

[edit]
  1. ^ a b c "GeForce Graphics Cards". Nvidia. Archived from the original on July 1, 2012. Retrieved July 7, 2012.
  2. ^ Otterness, Nathan; Anderson, James H. (2020). AMD GPUs as an Alternative to NVIDIA for Supporting Real-Time Workloads (PDF). 32nd Euromicro Conference on Real-Time Systems (ECRTS 2020). Leibniz International Proceedings in Informatics (LIPIcs). Vol. 165. Schloss Dagstuhl – Leibniz-Zentrum für Informatik. pp. 10:1–10:23. doi:10.4230/LIPIcs.ECRTS.2020.10.
  3. ^ "Winners of the Nvidia Naming Contest". Nvidia. 1999. Archived from the original on June 8, 2000. Retrieved May 28, 2007.
  4. ^ Taken, Femme (April 17, 1999). "Nvidia "Name that chip" contest". Tweakers.net. Archived from the original on March 11, 2007. Retrieved May 28, 2007.
  5. ^ "Maximum PC issue April 2002" (PDF). Maximum PC. Future US, Inc. April 2002. p. 29. Archived from the original on January 23, 2023. Retrieved October 11, 2022 – via Google Books.
  6. ^ Brian Caulfield (January 7, 2008). "Shoot to Kill". Forbes.com. Archived from the original on December 24, 2007. Retrieved December 26, 2007.
  7. ^ "NVIDIA GeForce 9800 GTX". Archived from the original on May 29, 2008. Retrieved May 31, 2008.
  8. ^ DailyTech report Archived July 5, 2008, at the Wayback Machine: Crytek, Microsoft and Nvidia downplay Direct3D 10.1, retrieved December 4, 2007
  9. ^ "Nvidia quietly launches GeForce 100-series GPUs". April 6, 2009. Archived from the original on March 26, 2009.
  10. ^ "nVidia Launches GeForce 100 Series Cards". March 10, 2009. Archived from the original on July 11, 2011.
  11. ^ "Nvidia quietly launches GeForce 100-series GPUs". March 24, 2009. Archived from the original on May 21, 2009.
  12. ^ "NVIDIA GeForce GTX 280 Video Card Review". Benchmark Reviews. June 16, 2008. Archived from the original on June 17, 2008. Retrieved June 16, 2008.
  13. ^ "GeForce GTX 280 to launch on June 18th". Fudzilla.com. Archived from the original on May 17, 2008. Retrieved May 18, 2008.
  14. ^ "Detailed GeForce GTX 280 Pictures". VR-Zone. June 3, 2008. Archived from the original on June 4, 2008. Retrieved June 3, 2008.
  15. ^ "– News :: NVIDIA kicks off GeForce 300-series range with GeForce 310 : Page – 1/1". Hexus.net. November 27, 2009. Archived from the original on September 28, 2011. Retrieved June 30, 2013.
  16. ^ "Every PC needs good graphics". Nvidia. Archived from the original on February 13, 2012. Retrieved June 30, 2013.
  17. ^ "Update: NVIDIA's GeForce GTX 400 Series Shows Up Early – AnandTech :: Your Source for Hardware Analysis and News". Anandtech.com. Archived from the original on May 23, 2013. Retrieved June 30, 2013.
  18. ^ Gupta, Sumit (March 21, 2014). "NVIDIA Updates GPU Roadmap; Announces Pascal". Blogs.nvidia.com. Archived from the original on March 25, 2014. Retrieved March 25, 2014.
  19. ^ "Parallel Forall". NVIDIA Developer Zone. Devblogs.nvidia.com. Archived from the original on March 26, 2014. Retrieved March 25, 2014.
  20. ^ "GEFORCE GTX 10 SERIES". www.geforce.com. Archived from the original on November 28, 2016. Retrieved April 24, 2018.
  21. ^ "nside Pascal: NVIDIA's Newest Computing Platform". April 5, 2016. Archived from the original on May 7, 2017.
  22. ^ Denis Foley (March 25, 2014). "NVLink, Pascal and Stacked Memory: Feeding the Appetite for Big Data". nvidia.com. Archived from the original on July 20, 2014. Retrieved July 7, 2014.
  23. ^ "NVIDIA's Next-Gen Pascal GPU Architecture to Provide 10X Speedup for Deep Learning Apps". The Official NVIDIA Blog. Archived from the original on April 2, 2015. Retrieved March 23, 2015.
  24. ^ Smith, Ryan (March 17, 2015). "The NVIDIA GeForce GTX Titan X Review". AnandTech. p. 2. Archived from the original on May 5, 2016. Retrieved April 22, 2016. ...puny native FP64 rate of just 1/32
  25. ^ "NVIDIA Reveals Next-Gen Turing GPU Architecture: NVIDIA Doubles-Down on Ray Tracing, GDDR6, & More". Anandtech. August 13, 2018. Archived from the original on April 24, 2020. Retrieved August 13, 2018.
  26. ^ a b "NVIDIA's Turing-powered GPUs are the first ever built for ray tracing". Engadget. Archived from the original on August 14, 2018. Retrieved August 14, 2018.
  27. ^ "NVIDIA GeForce RTX 20 Series Graphics Cards". NVIDIA. Archived from the original on August 3, 2017. Retrieved February 12, 2019.
  28. ^ "NVIDIA Deep Learning Super-Sampling (DLSS) Shown To Press". www.legitreviews.com. August 22, 2018. Archived from the original on September 14, 2018. Retrieved September 14, 2018.
  29. ^ "NVIDIA Officially Announces Turing GPU Architecture at SIGGRAPH 2018". www.pcper.com. PC Perspective. August 13, 2018. Archived from the original on August 14, 2018. Retrieved August 14, 2018.
  30. ^ Newsroom, NVIDIA. "10 Years in the Making: NVIDIA Brings Real-Time Ray Tracing to Gamers with GeForce RTX". NVIDIA Newsroom Newsroom. Archived from the original on December 12, 2018. Retrieved February 6, 2019. {{cite web}}: |last= has generic name (help)
  31. ^ Newsroom, NVIDIA. "NVIDIA GeForce RTX 2060 Is Here: Next-Gen Gaming Takes Off". NVIDIA Newsroom Newsroom. Archived from the original on January 19, 2019. Retrieved February 6, 2019. {{cite web}}: |last= has generic name (help)
  32. ^ "NVIDIA Delivers Greatest-Ever Generational Leap with GeForce RTX 30 Series GPUs". Archived from the original on January 13, 2021. Retrieved September 3, 2020.
  33. ^ "Join us for an NVIDIA GeForce RTX: Game on Special Broadcast Event". Archived from the original on September 2, 2020. Retrieved August 16, 2020.
  34. ^ "NVIDIA GeForce RTX 3090 Ti Specs". TechPowerUp. Archived from the original on January 23, 2023. Retrieved May 12, 2022.
  35. ^ Burnes, Andrew (September 20, 2022). "NVIDIA GeForce News". NVIDIA. Archived from the original on September 20, 2022. Retrieved September 20, 2022.
  36. ^ "NVIDIA GeForce RTX 4090 Graphics Cards". NVIDIA. Retrieved November 7, 2023.
  37. ^ "GeForce GTX 10-Series Notebooks". Archived from the original on October 21, 2016. Retrieved October 23, 2016.
  38. ^ a b Hagedoorn, Hilbert (May 26, 2017). "NVIDIA Launches GeForce MX150 For Laptops". Guru3D. Archived from the original on June 29, 2017. Retrieved July 2, 2017.
  39. ^ Smith, Ryan (May 26, 2017). "NVIDIA Announces GeForce MX150: Entry-Level Pascal for Laptops, Just in Time for Computex". AnandTech. Archived from the original on July 3, 2017. Retrieved July 2, 2017.
  40. ^ "NVIDIA Small Form Factor". Nvidia. Archived from the original on January 22, 2014. Retrieved February 3, 2014.
  41. ^ "NVIDIA Motherboard GPUs". Nvidia. Archived from the original on October 3, 2009. Retrieved March 22, 2010.
  42. ^ Kingsley-Hughes, Adrian (October 7, 2009). "End of the line for NVIDIA chipsets, and that's official". ZDNet. Archived from the original on March 23, 2019. Retrieved January 27, 2021.
  43. ^ "NVIDIA GeForce GTX 1630 Launching May 31st with 512 CUDA Cores & 4 GB GDDR6". May 19, 2022. Archived from the original on May 19, 2022. Retrieved May 19, 2022.
  44. ^ "OS Support for GeForce GPUs". Nvidia. Archived from the original on June 3, 2021. Retrieved August 25, 2017.
  45. ^ "Support for EGL". July 8, 2014. Archived from the original on July 11, 2014. Retrieved July 8, 2014.
  46. ^ "lib32-nvidia-utils 340.24-1 File List". July 15, 2014. Archived from the original on July 16, 2014.
  47. ^ "Nvidia: Vulkan support in Windows driver version 356.39 and Linux driver version 355.00.26". February 16, 2016. Archived from the original on April 8, 2016.
  48. ^ Mason, Damien (April 27, 2022). "Nvidia GPU drivers are better than AMD and Intel, says Nvidia". PCGamesN. Archived from the original on October 26, 2022. Retrieved October 26, 2022.
  49. ^ "Linux, Solaris, and FreeBSD driver 358.09 (beta)". December 10, 2015. Archived from the original on June 25, 2016.
  50. ^ "NVIDIA 364.12 release: Vulkan, GLVND, DRM KMS, and EGLStreams". March 21, 2016. Archived from the original on June 13, 2016.
  51. ^ Cunningham, Andrew (May 12, 2022). "Nvidia takes first step toward open-source Linux GPU drivers". Ars Technica. Archived from the original on May 31, 2022. Retrieved May 31, 2022.
  52. ^ Corrigan, Hope (May 17, 2022). "Nvidia's moved most of the code to firmware before releasing Open-Source Linux drivers". PC Gamer. Archived from the original on May 31, 2022. Retrieved May 31, 2022.
  53. ^ "kernel/git/firmware/linux-firmware.git – Repository of firmware blobs for use with the Linux kernel". git.kernel.org. Retrieved November 23, 2023.
  54. ^ "CSGO running smooth for a couple seconds, then HEAVILY dropping, then going back to normal, repeat · Issue #335 · NVIDIA/open-gpu-kernel-modules". GitHub. Retrieved November 23, 2023.
  55. ^ Aaron Klotz (January 18, 2022). "Nvidia Driver Unlocks Performance Boosting GPU System Processor". Tom's Hardware. Retrieved November 23, 2023.
  56. ^ "NVIDIA CUDA 11.6 Brings Convenient "-arch=native", Defaults To New "GSP" Driver Mode". www.phoronix.com. Retrieved November 23, 2023.
  57. ^ "NVIDIA Pushes 62MB Of GSP Binary Firmware Blobs Into Linux-Firmware.Git". www.phoronix.com. Retrieved November 23, 2023.
  58. ^ "Nouveau Linux DRM Driver Making Progress On NVIDIA GSP Support". www.phoronix.com. Retrieved November 23, 2023.
  59. ^ "Nvidia's Response To Recent Nouveau Work". Phoronix. December 14, 2009. Archived from the original on October 7, 2016.
  60. ^ Larabel, Michael (July 11, 2014). "NVIDIA Contributes Re-Clocking Code To Nouveau For The GK20A". Phoronix. Archived from the original on July 25, 2014. Retrieved September 9, 2014.
  61. ^ "Nouveau 3.14 Gets New Acceleration, Still Lacking PM". Phoronix. January 23, 2014. Archived from the original on July 3, 2014. Retrieved July 25, 2014.
  62. ^ "Benchmarking Nouveau and Nvidia's proprietary GeForce driver on Linux". Phoronix. July 28, 2014. Archived from the original on August 16, 2016.
  63. ^ a b c "License For Customer Use of NVIDIA Software". Nvidia.com. Archived from the original on August 10, 2017. Retrieved August 10, 2017.
  64. ^ "NVIDIA Privacy Policy/Your California Privacy Rights". June 15, 2016. Archived from the original on February 25, 2017.
  65. ^ Minor, Jordan (October 23, 2020). "Nvidia GeForce Experience Review". PCMAG. Archived from the original on October 26, 2022. Retrieved October 26, 2022.
  66. ^ "Nvidia Patches GeForce Experience Security Flaw". Tom's Hardware. March 27, 2019. Retrieved July 25, 2019.
  67. ^ Jacob, Ridley (February 22, 2024). "The new Nvidia App killing GeForce Experience: new overlay, system monitoring, 120fps capture, and lets you add HDR to any game". PC Gamer. Retrieved August 22, 2024.
  68. ^ Andermahr, Wolfgang (November 12, 2024). "Die Nvidia App: Control Panel & GeForce Experience vereint". ComputerBase (in German). Retrieved November 12, 2024.
  69. ^ Jacob, Ridley (February 22, 2024). "Nvidia's game filter for RTX GPUs lets you enable HDR in games that never supported it". PC Gamer. Retrieved August 22, 2024.
  70. ^ a b "RTX HDR and RTX Dynamic Vibrance use AI to dramatically improve the look of thousands of games". TweakTown. February 22, 2024. Retrieved August 22, 2024.
  71. ^ a b "NVIDIA App gets built-in automatic overclocking for GeForce GPUs which will not invalidate warranty". www.videocardz.com. June 3, 2024.
  72. ^ Mujtaba, Hassan (June 3, 2024). "NVIDIA App Adds 1-Click "Auto GPU" Tuning & 120 FPS AV1 Recording, G-Assist Can Also Dynamically Tune GPU, Record Statistics & Change Game Settings On The Fly". Wccftech. Retrieved August 23, 2024.
  73. ^ Trevisan, Thiago (May 10, 2021). "How to use Nvidia's performance tuning tool for one-click GeForce overclocking". PCWorld. Retrieved August 22, 2024.
  1. ^ a b c "RM" stands for "Resource Manager".
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