'They don't want to sell you powerful cards, it's that simple': rumored RTX 5080 Super GPU is apparently canned, and gamers are getting angrier with Nvidia - Yahoo Tech
Nvidia has reportedly cancelled the RTX 5080 Super graphics card, which was expected to launch in early 2027, due to the high cost of its 24GB video memory.
According to reports from Chinese sources cited by VideoCardz, Nvidia has informed graphics card manufacturers that the RTX 5080 Super launch is not happening without providing any clear subsequent launch schedule. This suggests the GPU refresh has been completely cancelled rather than delayed, contradicting earlier rumors that only indicated a postponement.
The cancellation appears to be driven by the cost of implementing 24GB of video RAM. The RTX 5080 Super would have required 3GB GDDR7 memory modules, unlike the 2GB modules on the standard RTX 5080, with these larger chips proving prohibitively expensive for the market.
In China, the standard RTX 5080 with 16GB of VRAM will remain the flagship offering, as the RTX 5090 isn't sold in the country.
Market Frustration
The cancellation comes as gamers grow increasingly frustrated with Nvidia's pricing and availability strategies. Many now believe the best way to acquire an RTX 5090 is by purchasing a high-end pre-built PC with bundled deals, rather than seeking a standalone graphics card.
They don't want to sell you powerful cards, [it's] that simple. They are gatekeeping AI compute power for the big boys so you are forced to spend money on Altman [OpenAI].
Strategic Shift
The decision reflects Nvidia's current market challenges, including GPU price hikes and a broader RAM crisis expected to worsen through 2027. The company appears to be prioritizing its data center and AI divisions over consumer graphics cards.
Nvidia aren't innocent bystanders here. They're the primary source of the demand that has shifted memory production from GDDR to HBM [for AI data center cards].
Industry observers note that Nvidia's shift in memory production from GDDR to HBM (High Bandwidth Memory) for AI data center cards has contributed to the current GPU market difficulties. The company's apparent strategy to let its GeForce consumer GPU range stagnate aligns with its focus on more profitable enterprise solutions.
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