NVIDIA GeForce RTX 4080 SUPER stock dwindling in the US, MSRP cards scarce.


February 9, 2024 by our News Team

The highly anticipated RTX 4080 SUPER GPU, priced at $999, is currently sold out at major US retailers and only available for in-store pickup, possibly due to the scarcity of its non-SUPER counterpart and limited information on future shipments, while European retailers have listed it at or near the MSRP of €1,109.

  • Highly anticipated release
  • Quickly becoming a hot commodity among gamers
  • Availability in Europe at or near MSRP


nVidia’s highly anticipated RTX 4080 SUPER GPU, which hit the market with a price tag of $999, has quickly become a hot commodity among gamers. Surprisingly, just a week after its release, the card is nowhere to be found at major US retailers for online orders at its original MSRP.

While some retailers like BestBuy and Microcenter do offer a few models at the suggested retail price, these are only available for in-store pickup. The most affordable option currently available is priced at $1,123, which is higher than the original price.

One possible reason for the limited availability of the RTX 4080 SUPER could be the ongoing scarcity of its non-SUPER counterpart, the RTX 4080. For several weeks now, finding the RTX 4080 at its original $1,200 price point has been quite challenging, even before the SUPER models were introduced.

Unfortunately, none of the retailers we’ve checked, including official US stores for major board partners, have any MSRP models of the RTX 4080 SUPER in stock. Furthermore, there is no information available regarding future shipments of these cards. However, in Europe, the situation seems to be more promising, with several retailers listing the cards at or near the MSRP of €1,109.

It’s worth noting that as of now, there doesn’t seem to be any supply issues with the RTX 4070 SUPER and RTX 4070 TI SUPER. These cards are readily available for purchase.

Source: Various

About Our Team

Our team comprises industry insiders with extensive experience in computers, semiconductors, games, and consumer electronics. With decades of collective experience, we’re committed to delivering timely, accurate, and engaging news content to our readers.

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  nVidia LinkedIn
Latest Articles about 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.

Latest Articles about GPU




Leave a Reply