NVIDIA will not release GeForce RTX 50 SUPER graphics cards this year and has also internally delayed the roadmap for the future RTX 60 series, according to information reported by The Information. This decision is closely tied to NVIDIA’s growing focus on artificial intelligence hardware, which is currently taking priority over the gaming GPU market.
The report states that NVIDIA has fully postponed the RTX 50 SUPER refresh, which was originally expected to be announced at CES 2026, with market availability planned for the first or second quarter of 2026. The main reason behind this move is the limited availability and high strategic value of high-density GDDR7 memory, a key component for both consumer GPUs and AI accelerators.
GDDR7 Memory Shortage Behind RTX 50 SUPER Cancellation
The GeForce RTX 50 SUPER lineup was designed to use 3 GB GDDR7 memory modules per chip, allowing for a significant increase in total memory compared to standard models. According to NVIDIA’s original plans:
- The RTX 5070 SUPER was expected to feature 18 GB of GDDR7
- The RTX 5070 Ti SUPER would have increased to 24 GB
- The RTX 5080 SUPER was also planned with 24 GB of GDDR7
However, this same high-capacity GDDR7 memory is critical for NVIDIA’s AI and workstation products, including the RTX PRO 6000 “Blackwell” and future “Rubin CPX” platforms. These segments offer much higher profit margins, leading NVIDIA’s management to prioritize AI products over gaming GPUs.
As a direct result, the gaming market will continue to rely on standard GeForce RTX 50 models, which remain expensive and will not receive the memory upgrades expected with the SUPER variants.
RTX 60 “Rubin” Consumer GPUs Also Facing Delays
The report also claims that NVIDIA has pushed back the internal schedule for its next-generation consumer GPUs, known as RTX 60 “Rubin.” Initial plans pointed to mass production starting in late 2027, but this timeline may now slip even further.
Once again, the main issue is limited access to advanced memory supply. NVIDIA may struggle to secure enough production capacity from partners such as Samsung, Micron, and SK hynix, affecting both future gaming GPUs and next-generation AI accelerators.
This situation reinforces the idea that, for the foreseeable future, gaming will not be NVIDIA’s top priority. Instead, artificial intelligence and data center products will continue to receive most of the company’s resources, innovation efforts, and access to cutting-edge memory technology.
