NVIDIA rumored to develop early 2024 release of GeForce RTX 4080 Ti featuring AD102 GPU

Rumor has it that NVIDIA is preparing to launch a new RTX 4080 Ti graphics card with an upgraded AD102 GPU and 20GB of GDDR6X memory, potentially launching in early 2024.

Potential upgrade to AD102 specifications
Total Graphics Power (TGP) of less than 450W
Potential launch in early 2024

nVidia RTX 4080 Ti Rumored to be in the Works

According to a reliable hardware leaker known as MEGAsizeGPU, NVIDIA might be gearing up to introduce a new addition to its graphics card lineup. The upcoming card is speculated to be named either the RTX 4080 Ti or RTX 4080 SUPER, although the final designation has yet to be confirmed. Considering NVIDIA’s departure from the SUPER series in the RTX 30 lineup and the absence of a Ti variant for the RTX 4080, it seems more likely that the card will be called RTX 4080 Ti.

While official specifications for the card have not been released, there are indications that the underlying GPU will receive an upgrade to AD102 specifications. It is expected to have a Total Graphics Power (TGP) of less than 450W. It’s worth noting that the current RTX 4080 model features the AD103 GPU with 9728 CUDA cores, falling short of the full capacity of the graphics processor, which boasts 10240 cores. This suggests that NVIDIA is aiming for even greater performance, bridging the gap between the 9728 and 16384 core specifications of the RTX 4090.

The leaked information suggests that the RTX 4080 Ti might launch in early 2024. This aligns with long-standing speculation about NVIDIA releasing higher-end variants like the RTX 4090 Ti or RTX 4080 Ti, as the existing non-Ti variants do not fully utilize the ADA silicon. The price point for the new card is expected to be similar to that of the current RTX 4080, which is priced at $1,199. This could potentially lead to a price cut for the original RTX 4080 in the future.

While details on memory specifications are still unknown, it is speculated that the RTX 4080 Ti could support 20GB of GDDR6X memory, positioning it between the 24GB and 16GB configurations seen on the RTX 4090 and RTX 4080, respectively. However, this configuration would require a 320-bit memory bus.

As with any rumor, it’s important to take this information with a grain of salt until official announcements are made. Nevertheless, if these rumors hold true, NVIDIA enthusiasts can look forward to an exciting addition to the RTX 40 series in the near future.

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Background Information

About nVidia:

NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

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Technology Explained

GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

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TGP: TGP is the acronym for Total Graphic Power and is understood in only one way: the consumption of the GPU and its entire PCB, but without its cooling and lighting system. Formerly the TGP was called Total Board Power, but this parameter changed its definition for what was discussed just below. In other words, the TBP referred to the total peak consumption of the graphics card itself, with all its dissipation systems and LEDs included. Therefore, TGP has ended up being more specific, being a value that makes more reference to the card itself.