NVIDIA’s GeForce RTX 4080 SUPER Makes Early Appearance in HWiNFO, Creating Buzz

HWiNFO’s latest changelog has sparked a wave of speculation surrounding the highly anticipated nVidia RTX 40 SUPER series. While NVIDIA has remained tight-lipped about the specifics, recent clues found on public websites suggest that an announcement may be on the horizon.

The source of this update in HWiNFO has not been disclosed, but it is common knowledge that monitoring software developers gather anonymous data to support new hardware. This particular update could be linked to a recently discovered Device ID in a public repository, providing HWiNFO developers with a preliminary understanding of the corresponding model. However, it’s important to note that neither the PCI ID repository nor HWiNFO itself confirm the finality or validity of this information. The addition of RTX 4080 to the software does not guarantee that the card’s name and specifications have been finalized.

It’s crucial to temper our excitement as HWiNFO’s inclusion of this information does not provide concrete evidence. Even the most reliable leakers have conflicting opinions on the specs, and our sources have yet to corroborate any details. Nevertheless, it is evident that NVIDIA is actively working on something behind closed doors, potentially leading to the release of a new SKU.

According to rumors surrounding the RTX 4080 SUPER, there are two possibilities for the GPU: AD102 or AD103. However, only one source has mentioned the former option, making it more likely that the card will feature full AD103 specifications with upgraded memory speeds. It’s worth noting that this model is not expected to hit the market anytime soon, with some sources speculating a potential release in early 2024.

While we eagerly await official confirmation from NVIDIA, let’s take a look at the rumored specifications for the RTX 40 SUPER series:

– RTX 4090:

– GPU: AD102-300

– CUDA Cores: TBC

– Memory Capacity: 24GB G6X

– Memory Speed: 21.0 Gbps

– Memory Bandwidth: 1008 GB/s

– RTX 4080 SUPER (AD103):

– GPU: TBC

– CUDA Cores: TBC

– Memory Capacity: 16GB G6X

– Memory Speed: TBC

– Memory Bandwidth: TBC

– RTX 4080:

– GPU: AD103-300

– CUDA Cores: TBC

– Memory Capacity: 16GB G6X

– Memory Speed: 22.4 Gbps

– Memory Bandwidth: 717 GB/s

– RTX 4070 Ti:

– GPU: AD104-400

– CUDA Cores: TBC

– Memory Capacity: 12GB G6X

– Memory Speed: 21.0 Gbps

– Memory Bandwidth: 504 GB/s

– RTX 4070:

– GPU: AD104-250

– CUDA Cores: TBC

– Memory Capacity: 12GB G6X

– Memory Speed: 21.0 Gbps

– Memory Bandwidth: 504 GB/s

– RTX 4060 Ti (16GB):

– GPU: AD106-351

– CUDA Cores: TBC

– Memory Capacity: 16GB G6

– Memory Speed: 18.0 Gbps

– Memory Bandwidth: 288 GB/s

– RTX 4060 Ti (8GB):

– GPU: AD106-350

– CUDA Cores: TBC

– Memory Capacity: 8GB G6

– Memory Speed: 18.0 Gbps

– Memory Bandwidth: 288 GB/s

– RTX 4060:

– GPU: AD107-400

– CUDA Cores: TBC

– Memory Capacity: 8GB G6

– Memory Speed: 18.0 Gbps

– Memory Bandwidth: 288 GB/s

Please note that these specifications are based on rumors and should be taken with a grain of salt. As we await official announcements, it’s important to remain cautious and avoid jumping to conclusions based solely on speculative information.

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 cutting-edge solutions that power everything from gaming and creative workloads to enterprise applications. Renowned 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 prowess, 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

---

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.