When.com Web Search

  1. Ads

    related to: geforce rtx 2060 vs 3050 laptop

Search results

  1. Results From The WOW.Com Content Network
  2. GeForce 30 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_30_series

    Nvidia officially released the GeForce RTX 3080 12GB graphics card on January 11, 2022 and the desktop GeForce RTX 3050 graphics card on January 27, 2022. The RTX 3050 had previously only had a laptop variant that was launched on May 11, 2021 along with the laptop variant of the RTX 3050 Ti that currently still has no desktop variant.

  3. Dell G Series - Wikipedia

    en.wikipedia.org/wiki/Dell_G_Series

    or GeForce RTX 3050 with 4 GB of GDDR6 memory or GeForce RTX 3050 Ti with 4 GB of GDDR6 memory or GeForce RTX 3060 with 6 GB of GDDR6 memory 15.6", 1920×1080, IPS Anti-Glare LED-Backlit, Refresh Rate:(120 Hz,165 Hz, 144 Hz) 5511 2021 Intel Tiger Lake 11th gen. 2.10 GHz hexa-core Core i5-11260H, up to 4.40 GHz, 12 MB cache

  4. Nvidia RTX - Wikipedia

    en.wikipedia.org/wiki/Nvidia_RTX

    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.

  5. List of Nvidia graphics processing units - Wikipedia

    en.wikipedia.org/wiki/List_of_Nvidia_graphics...

    OEM Card, similar to Geforce 210 GeForce 315 February 2010 GT216 486 100 475 1100 1580 48:16:4 512 12.6 DDR3 3.8 7.6 105.6 33 OEM Card, similar to Geforce GT220 GeForce GT 320 GT215 727 144 540 1302 72:24:8 1024 25.3 GDDR3 128 4.32 12.96 187.5 43 OEM Card GeForce GT 330 [55] GT215-301-A3 [56] 550 1350 96:32:8 512 32.00 128 4.40 17.60 257.3 75

  6. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA is a proprietary [2] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.