Rumored NVIDIA RTX 40 SUPER Specs Surface: RTX 4080 SUPER Boasts Full AD103 GPU and 10240 CUDA Cores


October 28, 2023

Rumored NVIDIA RTX 40 SUPER Specs Surface: RTX 4080 SUPER Boasts Full AD103 GPU and 10240 CUDA Cores

Summary: NVIDIA's upcoming RTX 40 SUPER series is rumored to feature up to 10,240 CUDA cores and potentially three models, according to NVIDIA insider Kopite7kimi.

  • Flagship RTX 4080 SUPER is rumored to feature the full AD103-300 GPU, which boasts an impressive 10,240 CUDA cores.
  • RTX 4070 Ti SUPER is expected to have 8,448 CUDA cores and could potentially come in two GPU variations.
  • RTX 4070 SUPER is rumored to feature 7,168 CUDA cores and may also offer two GPU alternatives.


nVidia’s upcoming RTX 40 SUPER series has been the subject of much speculation lately, with detailed specifications recently shared by NVIDIA insider, Kopite7kimi. While these specs should be taken with a grain of salt, they provide an interesting glimpse into what we might expect from the next generation of GPUs.

According to Kopite’s tweet, the flagship RTX 4080 SUPER is rumored to feature the full AD103-300 GPU, which boasts an impressive 10,240 CUDA cores. However, specific details regarding the memory configuration have not been confirmed. It’s worth noting that the AD103 GPU suggests a 256-bit memory bus, making it unlikely to achieve 20GB specifications without reducing the memory bus to 160 bits.

In addition to the RTX 4080 SUPER, Kopite also mentioned the RTX 4070 Ti SUPER and RTX 4070 SUPER. The former is expected to have 8,448 CUDA cores and could potentially come in two GPU variations: the AD103-275 or a cut-down AD102-175. The latter, the RTX 4070 SUPER, is rumored to feature 7,168 CUDA cores and may also offer two GPU alternatives: the AD104-350 or the AD103-175.

It’s important to note that these specifications haven’t been updated recently, so there’s a possibility that some of the listed SKUs have been shelved. NVIDIA has yet to officially announce any fresh specifications to its board partners, and it’s unlikely that any major releases will occur this year. However, it’s clear that an update is on the horizon, potentially involving one to three models.

While we eagerly await official confirmation from NVIDIA, these rumors give us a tantalizing glimpse into the future of GPU technology. As always, take these leaks with a grain of salt until we receive official word from the company.

(Source)

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.

nVidia Website: https://www.nvidia.com
nVidia LinkedIn: https://www.linkedin.com/company/nvidia/

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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