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The lineup, designed to compete with AMD's Radeon RX 6000 series of cards, consists of the entry-level and previously laptop-exclusive RTX 3050 and laptop-exclusive RTX 3050 Ti, mid-range RTX 3060, upper-midrange RTX 3060 Ti, high-end RTX 3070, RTX 3070 Ti, RTX 3080 10 GB, RTX 3080 12 GB and enthusiast RTX 3080 Ti, RTX 3090, and RTX 3090 Ti ...
This section does not cite any sources. ... GeForce2 Ti October 1, 2001 TSMC 150 nm 250 1,000 1,000 ... (Watts) Size Bandwidth Bus type ...
Ampere is the codename for a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to both the Volta and Turing architectures. It was officially announced on May 14, 2020 and is named after French mathematician and physicist André-Marie Ampère.
Nvidia Laptop GPU RTX 3050 Ti 4 GB; RTX 3060 6 GB; RTX 3070 Ti 8 GB; RTX 3070 8 GB; Up to 32 GB DDR5 4800 MHz 16.0" WQXGA (2560 x 1600) IPS, anti-glare with Dolby Vision™, NVIDIA G-SYNC™, HDR 400, 500 nits, 165 Hz WiFi 6E 802.11AX (2 x 2) Bluetooth ® 5.1; 80 Whr 300 W slim tip (3-pin) AC adapter
The 16-pin 12VHPWR connector, where HPWR stands for "High Power," supports higher power delivery to GPUs, up to 600 watts, a significant increase from the 150 watts of the 8-pin connector and the 75 watts of the 6-pin connector. [8] [9] Adapters converting multiple 8-pin to a single 16-pin connector are available. [10]
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; 2.20 GHz hexa-core Core i5-11400H, up to 4.50 GHz, 12 MB cache
The red crosses denote the most power efficient computer, while the blue ones denote the computer ranked#500. FLOPS per watt is a common measure. Like the FLOPS (Floating Point Operations Per Second) metric it is based on, the metric is usually applied to scientific computing and simulations involving many floating point calculations.
In applications where the computer is often heavily loaded, such as scientific computing, performance per watt (how much computing the CPU does per unit of energy) becomes more significant. CPUs typically use a significant portion of the power consumed by the computer.
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