EVGA GF GT 210 1GB DDR3 Graphics Card

Product Information

Nvidia officially announced and released the retail version of the previously OEM only GeForce 210 (GT218 GPU) and GeForce GT 220 (GT216 GPU) on October 12, 2009. Nvidia officially announced and released the GeForce GT 240 (GT215 GPU) on November 17, 2009. The new 40nm GPUs feature the new PureVideo HD VP4 decoder hardware in them, as the older GeForce 8 and 9 GPUs only have PureVideo HD VP2 or VP3 (G98). They also support Compute Capability 1.2, whereas older GeForce 8 and 9 GPUs only supported Compute Capability 1.1. All GT21x GPUs also contain an audio processor inside and support 8 channel LPCM output through HDMI. GeForce: GTX 780 Ti, GeForce GTX 780, GeForce GTX 770, GeForce GTX 760, GeForce GTX 760 Ti (OEM), GeForce GT 740, GeForce GT 730, GeForce GT 720, GeForce GT 710, GeForce GTX 690, GeForce GTX 680, GeForce GTX 670, GeForce GTX 660 Ti, GeForce GTX 660, GeForce GTX 650 Ti BOOST, GeForce GTX 650 Ti, GeForce GTX 650, GeForce GTX 645, GeForce GT 640, GeForce GT 635, GeForce GT 630, GeForce MX110 GPUs with the new Turing architecture have many new OpenGL extensions giving developers access to new features. As of August2018 [update], the GT200 is the seventh largest commercial GPU ever constructed, consisting of 1.4 billion transistors covering a 576mm 2 die surface area built on a 65nm process. It is the fifth largest CMOS-logic chip that has been fabricated at the TSMC foundry. The GeForce 400 Series have since superseded the GT200 chips in transistor count, but the original GT200 dies still exceed the GF100 die size. It is larger than even the Kepler-based GK210 GPU used in the Tesla K80, which has 7.1 billion transistors on a 561mm 2 die manufactured in 28 nm. [1] The Ampere GA100 is currently the largest commercial GPU ever fabricated at 826mm 2 with 54.2 billion transistors. [2]

GeForce: GeForce GTX 960M, GeForce GTX 950M, GeForce 945M, GeForce 940MX, GeForce 930MX, GeForce 920MX, GeForce 940M, GeForce 930M, GeForce GTX 860M, GeForce GTX 850M, GeForce 845M, GeForce 840M, GeForce 830M, GeForce GTX 750 Ti, GeForce GTX 750, GeForce GTX 745, GeForce MX130 Types and number of video connectors present on GeForce 210. As a rule, this section is relevant only for desktop reference graphics cards, since for notebook ones the availability of certain video outputs depends on the laptop model, while non-reference desktop models can (though not necessarily will) bear a different set of video ports. Display Connectors Quadro: Quadro GP100, Quadro P6000, Quadro P5200, Quadro P5000, Quadro P4200, Quadro P4000, Quadro P3200, Quadro P3000, Quadro P2200, Quadro P2000, Quadro P1000, Quadro P620, Quadro P600, Quadro P520, Quadro P500, Quadro P400 GeForce GTX 295, GeForce GTX 285, GeForce GTX 280, GeForce GTX 275, GeForce GTX 260, GeForce GTS 250, GeForce GTS 240, GeForce GT 230, GeForce GT 240, GeForce GT 220, GeForce G210, GeForce 210, GeForce 205Quadro: Quadro M6000 24GB, Quadro M6000, Quadro M5500, Quadro M5000, Quadro M5000M, Quadro M4000, Quadro M4000M, Quadro M3000M, Quadro M2200, Quadro M2000 This section provides details about the physical dimensions of GeForce 210 and its compatibility with other computer components. This information is useful when selecting a computer configuration or upgrading an existing one. For desktop graphics cards, it includes details about the interface and bus (for motherboard compatibility) and additional power connectors (for power supply compatibility). Bus support DirectX 10.1 Support (10.0 Hardware Default) and support for NVIDIA PureVideo HD Technology, Dual-stream Hardware Acceleration, PhysX, CUDA, HybridPower and other technologies. The GeForce 210 was a graphics card by NVIDIA, launched on October 12th, 2009. Built on the 40 nm process, and based on the GT218S graphics processor, in its GT218-300-A2 variant, the card supports DirectX 11.1. Even though it supports DirectX 11, the feature level is only 10_1, which can be problematic with many DirectX 11 & DirectX 12 titles. The GT218S graphics processor is a relatively small chip with a die area of only 57 mm² and 260 million transistors. It features 16 shading units, 8 texture mapping units, and 4 ROPs. NVIDIA has paired 512 MB DDR3 memory with the GeForce 210, which are connected using a 64-bit memory interface. The GPU is operating at a frequency of 520 MHz, memory is running at 400 MHz.

Throughout NVIDIA’s history, we’ve supported every new Windows operating system at release with dedicated drivers, ensuring our customers receive optimized performance and access to the latest Windows features. Today, we have released our Game Ready and NVIDIA Studio drivers for Windows 11’s October 5th official release, having supported Windows 11 preview builds with WHQL-certified drivers since June. The GeForce 200 series GPUs (GT200a/b GPU), excluding GeForce GTS 250, GTS 240 GPUs (these are older G92b GPUs), have double precision support for use in GPGPU applications. GT200 GPUs also have improved performance in geometry shading. Windows driver version 426.02 and Linux driver version 418.52.18 provide new features for OpenGL developers to test their upcoming OpenGL applications. Windows 426.02 Creators and workers receive new ways to organize and manage their desktops using snap tools, enhanced multi-monitor functionality, and advanced support for touch screens, voice controls, and pen input devices.Quadro: Quadro RTX 8000, Quadro RTX 6000, Quadro RTX 5000, Quadro RTX 4000, Quadro RTX 3000, Quadro T2000, Quadro T1000 Folks relying on web calls and video conferencing will find innumerable improvements, along with integrated Microsoft Teams, and NVIDIA Broadcast enhancements thanks to under the hood Windows 11 changes. Quadro: Quadro M2000M, Quadro M1000M, Quadro M600M, Quadro M500M, Quadro M1200, Quadro M620, Quadro M520, Quadro K2200M, Quadro K620M All models support Coverage Sample Anti-Aliasing, Angle-Independent Anisotropic Filtering, 240-bit OpenEXR HDR. And STEM students will now have access to NVIDIA’s world-leading AI software platform directly on their Windows 11 PCs; CUDA on Windows Subsystem for Linux (WSL) makes it possible for STEM students to run GPU-accelerated AI using a variety of frameworks and applications.