Possible NVIDIA RTX 4080/4070 SUPER update to feature a blend of AD103/102/104 GPUs

Leaker Kopite7kimi adds insights to the discussion on NVIDIA's rumored RTX 40 SUPER refresh, suggesting potential GPU mixing and conflicting information on memory capacity and core count.

NVIDIA often shares different specifications with various sources, leading to conflicting information and some details not making it into the final product.
GPU mixing in the RTX 40 SUPER refresh is introduced, suggesting that the RTX 4080 SUPER could potentially use either the AD103 or AD102 GPU.
Reports have indicated a potential upgrade to the AD103 processor for the RTX 4070 SUPER, implying a higher core count.

nVidia’s rumored RTX 40 SUPER refresh continues to generate buzz, with leaker Kopite7kimi adding their insights to the discussion. While some previous rumors suggested a 20GB memory capacity for the RTX 4080S, Kopite points out that this may not be accurate. It’s worth noting that NVIDIA often shares different specifications with various sources, leading to conflicting information and some details not making it into the final product. However, rumors have been known to eventually receive confirmation, even if it takes time.

Kopite7kimi also introduces the concept of GPU mixing in the RTX 40 SUPER refresh. This practice, more commonly seen in the Chinese market, suggests that the RTX 4080 SUPER could potentially use either the AD103 or AD102 GPU. This conflicts with the previous rumor of a 20GB memory upgrade, as the AD103 GPU only supports a 256-bit memory bus, which may not align well with the RTX 4080’s 256-bit bus.

Regarding the RTX 4070 SUPER, reports have indicated a potential upgrade to the AD103 processor, implying a higher core count. However, Kopite suggests that the specifications might actually be slightly lower than those of the RTX 4070 Ti, meaning the Ti variant would remain the faster option.

To ensure consistent performance between the two different GPUs, NVIDIA needs to address any frequency or power differences. Failure to do so would require a separate SKU variant. It’s worth noting that NVIDIA doesn’t use such chips for the US or EU markets due to consumer protection laws. While Chinese models using different GPUs have shown some visible differences in power consumption or video coding capabilities, this issue has been more prevalent in entry-level series.

While we continue to gather information from our sources, it’s clear that the RTX 40 SUPER SKUs won’t be arriving anytime soon. Once NVIDIA finalizes the specifications, we can expect discussions on launch dates and pricing to begin.

RUMORED Geforce RTX 40 SUPER:

– GeForce RTX 4090: AD102-300, 24GB G6X, 384-bit

– GeForce RTX 4080 SUPER: AD103 or AD102 (TBC)

– GeForce RTX 4080: AD103-300, 16GB G6X

– GeForce RTX 4070 Ti: AD104-400, 12GB G6X

– GeForce RTX 4070 SUPER: AD103 or AD104 (TBC)

– GeForce RTX 4070: AD104-250, 12GB G6X

– GeForce RTX 4060 Ti 16GB: AD106-351

– GeForce RTX 4060 Ti 8GB: AD106-350

– GeForce RTX 4060: AD107-400

Source: kopite7kimi

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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.

Technology Explained

Geforce: Geforce is a line of graphics processing units (GPUs) developed by Nvidia. It is the most popular GPU used in the computer industry today. Geforce GPUs are used in gaming PCs, workstations, and high-end laptops. They are also used in virtual reality systems, artificial intelligence, and deep learning applications. Geforce GPUs are designed to deliver high performance and power efficiency, making them ideal for gaming and other demanding applications. They are also capable of rendering high-resolution graphics and providing smooth, realistic visuals. Geforce GPUs are used in a variety of applications, from gaming to professional workstations, and are the preferred choice for many computer users.

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.