Palit GeForce RTX 4080 SUPER GamingPro OC 16 GB GPU Review – Enthusiast 4K Gaming

It's been over a year since NVIDIA introduced its Ada Lovelace GPUs, kicking things off with the RTX 4090 and finishing up the initial lineup with the RTX 4060. At CES, the company unveiled its new 40 SUPER family, designed to offer a mid-cycle upgrade over the existing cards. The company officially adds more performance by increasing the core counts, offering more VRAM across certain variants, and increasing the performance per dollar value of its Ada family.

Today, NVIDIA is releasing the last and fastest card within its "SUPER" portfolio, the GeForce RTX 4080 SUPER. The GeForce RTX 4080 SUPER graphics card is designed for enthusiast-class gaming at 4K resolutions, delivering steady fast frame rates and Ada-exclusive gaming technologies for $999 US.

The NVIDIA GeForce RTX 4080 SUPER is also the only SUPER variant to see a major price reduction versus its non-SUPER variant. While the other models replaced their Non-SUPER siblings at the very same price point they launched at, the RTX 4080 SUPER shaves off $200 US from the RTX 4080 price and offers a slight boost to the internal hardware specifications. For this review, we will be testing out Palit GeForce RTX 4080 SUPER GamingPro OC, a high-end custom design that retails for a bit over the $999 US MSRP.

Turing wasn't just any graphics core, it was the graphics core that was to become the foundation of future GPUs. The future is realized now with next-generation consoles going deep in talks about ray tracing and AI-assisted super-sampling techniques. NVIDIA had a head start with Turing & Ampere and its Ada generation will only do things infinitely times better.

The Ada GPU does many traditional things which we would expect from a GPU, but at the same time, also breaks the barrier when it comes to untraditional GPU operations. Just to sum up some features:

The technologies mentioned above are some of the main building blocks of the Ada GPU, but there's more within the graphics core itself which we will talk about in detail so let's get started.

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