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The Radeon RX Vega series is a series of graphics processors developed by ... Radeon Graphics (Vega) 192:12:4 3 CU 1.0 384 FP5 ... 2.2 — — 0–105 V1605B ...
Radeon Vega Frontier Edition Navi: RDNA: 7 nm ... 2 0.32 EDO 64 ? ? 5.0 ... Radeon 3000 Graphics (760G Chipset) 2009 RS780L [36] RV610 55
Select models support Hybrid Graphics technology to assist a Radeon HD 7350, 7450, 7470, 7550, 7570, 7670 discrete graphics card. [ 30 ] [ 31 ] However, it has been found that this does not always improve 3D accelerated graphics performance.
RDNA 2. RDNA 2 is a GPU microarchitecture designed by AMD, released with the Radeon RX 6000 series on November 18, 2020. Alongside powering the RX 6000 series, RDNA 2 is also featured in the SoCs designed by AMD for the PlayStation 5, Xbox Series X/S, and Steam Deck consoles.
RDNA 3. RDNA 3 is a GPU microarchitecture designed by AMD, released with the Radeon RX 7000 series on December 13, 2022. Alongside powering the RX 7000 series, RDNA 3 is also featured in the SoCs designed by AMD for the Asus ROG Ally, Lenovo Legion Go, and the PlayStation 5 Pro consoles.
Die shot of the RX 5500 XT's RDNA GPU. The architecture features a new processor design, although the first details released at AMD's Computex keynote hints at aspects from the previous Graphics Core Next (GCN) architecture being present for backwards compatibility purposes, which is especially important for its use (in the form of RDNA 2) in the major ninth generation game consoles (the Xbox ...
Playing a racing video game on Single Large Surface (SLS) with a 5x1 portrait display group configuration at ExtravaLANza 2012 in Toronto. AMD Eyefinity is a brand name for AMD video card products that support multi-monitor setups by integrating multiple (up to six) display controllers on one GPU. [1]
Radeon Sky series. AMD Instinct is AMD 's brand of data center GPUs. [ 1 ][ 2 ] It replaced AMD's FirePro S brand in 2016. Compared to the Radeon brand of mainstream consumer/gamer products, the Instinct product line is intended to accelerate deep learning, artificial neural network, and high-performance computing / GPGPU applications.
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