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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).
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 . The architecture was first introduced in August 2018 at SIGGRAPH 2018 in the workstation-oriented Quadro RTX cards, [ 2 ] and one week later at Gamescom in consumer ...
This is a comparison of chipsets designed by Nvidia. Nvidia stopped producing chipsets in 2009. [ 1 ] Nvidia codenames its chipsets MCPs (Media and Communications Processors).
RIVA TNT2 VANTA GPU Die shot of the RIVA TNT2 GPU. The TNT2 core features the same basic dual-pipeline layout as the RIVA TNT, however with a few updates, such as larger 2048x2048 texture support, 32-bit Z-buffer/stencil support, AGP 4X support, up to 32MB of VRAM, and a process shrink from 0.35 μm to 0.25 μm.
Nvidia Quadro T1000 (4 GB GDDR6) Nvidia Quadro RTX 3000 (6 GB GDDR6) Nvidia Quadro RTX 4000 (8 GB GDDR6) Nvidia Quadro RTX 5000 (16 GB GDDR6) Intel AX201 + Qualcomm X20 LTE-A CAT18 (DW5821e) (4x) PCIe NVMe 17.3" FHD WVA 220 nits 17.3" FHD WVA 500 nits 17.3" UHD WVA 500 nits pointing stick dropped; reduced keyboard layout. Precision 7740 Jul 2019
Pages for logged out editors learn more. Contributions; Talk; Comparison of nvidia GPUS
The DGX Superpod is a high performance turnkey supercomputer system provided by Nvidia using DGX hardware. [35] It combines DGX compute nodes with fast storage and high bandwidth networking to provide a solution to high demand machine learning workloads.
Model Micro-architecture Launch Core Core clock ()Shaders Memory Processing power (TFLOPS) [a] CUDA compute capability [b] TDP (W) Notes, form factor CUDA cores (total)