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Photo of James Clerk Maxwell, eponym of architecture. Maxwell is the codename for a GPU microarchitecture developed by Nvidia as the successor to the Kepler microarchitecture. . The Maxwell architecture was introduced in later models of the GeForce 700 series and is also used in the GeForce 800M series, GeForce 900 series, and Quadro Mxxx series, as well as some Jetson produ
Download QR code; Print/export ... 1.1 GeForce 8400 GS Rev. 2 (G98) No No No No ... Compute Capability: 1.3 has double precision support for use in GPGPU applications ...
Only the MX150 is based on Pascal's GP108 die used on the GT1030 for Desktops, with higher clock frequencies compared to its Desktop counterpart, while the other chips in the MX series were re-branded versions of the previous generation GPUs (MX130 is a re-branded GT940MX GPU while MX110 is a re-branded GT920MX GPU).
Painting of Blaise Pascal, eponym of architecture. Pascal is the codename for a GPU microarchitecture developed by Nvidia, as the successor to the Maxwell architecture. The architecture was first introduced in April 2016 with the release of the Tesla P100 (GP100) on April 5, 2016, and is primarily used in the GeForce 10 series, starting with the GeForce GTX 1080 and GTX 1070 (both using the ...
GeForce is a brand of graphics processing units (GPUs) designed by Nvidia and marketed for the performance market. As of the GeForce 40 series, [needs update] there have been eighteen iterations of the design. [clarification needed] In August 2017, Nvidia stated that "there are over 200 million GeForce gamers". [1]
GM107 supports CUDA Compute Capability 5.0 compared to 3.5 on GK110/GK208 GPUs and 3.0 on GK10x GPUs. Dynamic Parallelism and HyperQ, two features in GK110/GK208 GPUs, are also supported across the entire Maxwell product line.
In Windows ,the last driver to fully support CUDA with 64-Bit Compute Capability 3.5 for Kepler in Windows 7 and Windows 8.1 64-bit is 388.71, tested with latest CUDA-Z and GPU-Z, after that driver, the 64-Bit CUDA support becomes broken for GeForce 700 series GK110 with Kepler architecture.
Programmability aim was achieved with Kepler's Hyper-Q, Dynamic Parallelism and multiple new Compute Capabilities 3.x functionality. With it, higher GPU utilization and simplified code management was achievable with GK GPUs thus enabling more flexibility in programming for Kepler GPUs. [6]