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The GeForce 10 series is the last Nvidia GPU generation to support Windows 7/8.x or any 32-bit operating system; beginning with the Turing architecture, newer Nvidia GPUs now require a 64-bit operating system. Nvidia has announced plans to wind down developer support for the Pascal architecture, which includes the GTX 10-Series.
Turing is the codename for a graphics processing unit (GPU) microarchitecture developed by Nvidia.It is named after the prominent mathematician and computer scientist Alan Turing.
Model – The marketing name for the processor, assigned by Nvidia. Launch – Date of release for the processor. Code name – The internal engineering codename for the processor (typically designated by an NVXY name and later GXY where X is the series number and Y is the schedule of the project for that generation).
Nvidia announced the Ampere architecture GeForce 30 series consumer GPUs at a GeForce Special Event on September 1, 2020. [3] [4] Nvidia announced the A100 80 GB GPU at SC20 on November 16, 2020. [5] Mobile RTX graphics cards and the RTX 3060 based on the Ampere architecture were revealed on January 12, 2021. [6]
The Ada Lovelace architecture follows on from the Ampere architecture that was released in 2020. The Ada Lovelace architecture was announced by Nvidia CEO Jensen Huang during a GTC 2022 keynote on September 20, 2022 with the architecture powering Nvidia's GPUs for gaming, workstations and datacenters.
Nvidia RTX (also known as Nvidia GeForce RTX under the GeForce brand) is a professional visual computing platform created by Nvidia, primarily used in workstations for designing complex large-scale models in architecture and product design, scientific visualization, energy exploration, and film and video production, as well as being used in mainstream PCs for gaming.
Symmetric multiprocessing – Like Windows, RTX / RTX64 is based on a symmetric multiprocessing (SMP) architecture. [7] Depending on the real-time needs, users can choose the number of processors to dedicate to RTX / RTX64 to run real-time processes. RTX can use up to 31 dedicated processors; RTX64 can use up to 63.
The Hopper architecture was the first Nvidia architecture to implement the transformer engine. [14] The transformer engine accelerates computations by dynamically reducing them from higher numerical precisions (i.e., FP16) to lower precisions that are faster to perform (i.e., FP8) when the loss in precision is deemed acceptable. [ 14 ]