This comes as a shocking blow to gamers, and for what appears to be the first time in decades, NVIDIA (NVDA) The launch of new gaming GPUs may be skipped this year.
The tech giant wants to ditch 2026 game releases because Memory supply is tightAccording to the “Information” report.
Unsurprisingly, it’s the average consumer who’s been hit, as Nvidia prioritizes its memory Popular and in-demand AI accelerators.
Additionally, Nvidia acknowledged the memory limitations in a statement to Seeking Alpha.
To be fair, the AI ​​giants will likely be the first to emerge, not us average consumers.
For some context, I introduced Memory Giant Micron(MU) Decided to withdraw from consumer memory business crucialphasing out Crucial brand SSD and memory modules.
On top of that, Micron CEO Sanjay Mehrotra admitted that the memory market may “Still tense beyond 2026“.
Furthermore, as Mehrotra talked about at Davos, AI’s insatiable need for memory will only grow.
However, this isn’t entirely due to a drop in demand for the game. Instead, Nvidia is reallocating resources to AI chips that provide higher profits and strategic value.
The financial impact is obvious, but there’s also a symbolic shift.
Even if temporary, this pause will effectively redraw expectations for the roadmaps of AI leaders and their relationship to the gaming space.
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2015: GeForce GTX 900 Series (Maxwell)
GTX 980 Ti, 980, 970, 960, 950 (plus the enthusiast Titan X variant of the era) -
2016-2018: GeForce GTX 10 Series (Pascal)
GTX 1080 Ti, 1080, 1070 Ti, 1070, 1060, 1050 Ti, 1050 (and Titan X/Titan Xp variants) -
2019: GeForce GTX 16 Series (Turing, GTX brand)
GTX 1660 Titanium, 1660 Super, 1660, 1650 Super, 1650 -
2018-2021: GeForce RTX 20 Series (Turing, RTX brand)
RTX 2080 Ti, 2080 Super, 2080, 2070 Super, 2070, 2060 Super, 2060 -
2020-2022: GeForce RTX 30 Series (Ampere)
RTX 3090 Titanium, 3090, 3080 Titanium, 3080, 3070 Titanium, 3070, 3060 Titanium, 3060, 3050 -
2022-2024: GeForce RTX 40 Series (Ada Lovelace)
RTX 4090, 4080 Super, 4080, 4070 Ti Super, 4070 Ti, 4070 Super, 4070, 4060 Ti, 4060 -
2025: GeForce RTX 50 Series (Blackwell)
RTX 5090, 5080, 5070 Ti, 5070 (first wave announced/available in 2025) -
source: Nvidia GeForce GPU comparison tool
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At this point, it may sound like a broken record, but the AI ​​boom has clearly become a grab for memory land.
In the long run, the gatekeepers of memory space have locked down the supply, SK hynix Says its HBM is sold out by 2026, and Samsung Confirm that the customer is assured of the upcoming output.
So we’re looking at three major players that are firmly dominating the memory space.
More NVIDIA:
They dominate the most critical investment in artificial intelligence chips, and the imbalance between supply and demand effectively translates into more powerful artificial intelligence chips. Pricing power, long-term contracts and tighter customer discipline.
Additionally, Samsung is already considering next-generation HBM timelines, including HBM4underlining the strategic nature of these supply agreements. At the same time, we see these memory manufacturers effectively monitoring orders while tightening allocations.
Artificial intelligence essentially reshapes Nvidia’s entire growth engine.
Not long ago, Nvidia was primarily a gaming chip company selling graphics cards in a highly competitive market.
Today it is like a powerful Full stack AI platformoffering GPUs bundled with CPUs and DPUs, networking powered by incredibly sticky software like CUDA, and services like DGX Cloud.
Related: Morgan Stanley adjusts AMD stock price target after earnings
The shift is huge, and Nvidia’s financials prove it.
Nvidia’s profit margins improve as AI becomes largest share of its business Leap into rare territory.
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Fiscal 2025 GAAP gross profit margin:75%, higher than the 72.7% of the previous year, and much higher than the 62% announced in fiscal year 2020.
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Fiscal 2025 GAAP operating income: US$81.5 billion, a year-on-year increase of 147%
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Fiscal 2026 third quarter revenue mix: US$51.2 billion of the total US$57 billion is spent on data centers (approximately 90%)
These aren’t just “good chip profits.” that is Similar software profitability In addition to its massive hardware sales.
Nvidia’s data center-driven business also maintains Gross profit margin is close to 75%and management has guided for the future to roughly the same level.
With memory scarce, it seemed natural for Nvidia to follow the math and turn its efforts toward artificial intelligence.
If Nvidia continues to direct scarce memory and supply toward AI, the consequences are likely to go far beyond the launch of a single product.
This is how things might go.
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Game GPU rhythm slows down: We’ll likely see fewer releases and limited updates, causing the gap between generations to lengthen significantly.
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Scarcity supports price: Nvidia’s own GeForce RTX 5090 has an MSRP of $1,999; However, third-party trackers show listings as high as $4,438 on Amazon.
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AMD’s evidence points to market downturn: AMD warned in its latest quarterly report that its gaming unit is facing some headwinds, predicting Sales to post double-digit decline in 2026according to Investing.com.
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Late cycle resistance will reset and push out. For gamers, aging consoles essentially mean significantly fewer hardware sales and more promotions, which has pushed sales of next-gen consoles down significantly. 2027.
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This article was originally published by TheStreet on February 6, 2026, and first appeared in the Investment section. Click here to add TheStreet as your preferred source.
