TL;DR: Multiple supply-chain reports say NVIDIA will not launch any new consumer RTX cards in 2026 — the RTX 50 SUPER refresh is pushed to Q3 2026 at the earliest, the RTX 5060 Ti 16GB and 5070 Ti are reportedly being wound down, and the next-gen RTX 60 series may not arrive until 2028. The cause is a brutal GDDR7/DRAM shortage driven by AI datacenter demand. For home labs, that means used-card prices are climbing, not falling, and the buy-now-or-wait math just flipped.

	Buy now (used 24GB)	Buy now (new 16GB)	Wait for SUPER / RTX 60
Best for	Most local-AI builders	Tight budgets, warranty	Gamers who can wait
Price / Cost	Used RTX 3090 ~$966–$1,189 (Jun 2026)	RTX 5060 Ti 16GB ~$400–$500, stock shrinking	RTX 50 SUPER not before Q3 2026; RTX 60 ~2028
The catch	Prices up ~72% over 4 months	16GB ceiling; may be discontinued	No firm date, no VRAM bump guaranteed at MSRP

Honest take: If your models fit in 24GB, buy a used RTX 3090 now — waiting for “more VRAM at the same price” is betting against a memory shortage that’s getting worse, not better.

What’s actually happening

The short version: NVIDIA’s annual cadence of new consumer graphics cards has stalled. According to a report covered by Tom’s Hardware, NVIDIA is not expected to release any new RTX gaming GPUs during 2026, and the next architecture (the Rubin-based RTX 60 series) has slipped on the internal roadmap toward a 2028 debut rather than the late-2027 mass production originally planned.

That doesn’t mean the lineup is frozen in place — it means the moves that are happening are subtractions, not additions:

• The RTX 50 SUPER refresh (rumored RTX 5070 SUPER, 5070 Ti SUPER, 5080 SUPER) has been postponed from its expected Q1 2026 window to Q3 2026 at the earliest, with some outlets describing it as “delayed indefinitely.” NVIDIA reportedly told its board partners the plan is not canceled, just pushed.
• NVIDIA has reportedly ended RTX 5070 Ti production, and the RTX 5060 Ti 16GB — the single most recommended budget local-AI card on this site — is next in line for a production pause or discontinuation.
• Industry estimates point to NVIDIA cutting gaming GPU production by 30–40% in 2026.

For a gamer, this is an annoyance. For someone building a local-AI box, it reshapes the entire decision tree, because the thing you actually buy a GPU for — VRAM — is exactly what’s getting rationed.

Why: the memory shortage, not the silicon

The GPU dies are not the bottleneck. Memory is.

The RTX 50 SUPER cards were designed around 3GB GDDR7 modules — denser chips that pack 50% more capacity per module than the 2GB chips on the current RTX 50 series. That’s how a 5070 SUPER was supposed to jump from 12GB to 18GB and a 5080 SUPER from 16GB to 24GB. Those high-density modules are precisely the parts that suppliers can’t make enough of, because the same fabs are being redirected toward HBM and high-margin server DRAM for AI accelerators.

The macro numbers explain the pressure. Per TrendForce, conventional DRAM contract prices rose roughly 93–98% quarter-over-quarter in Q1 2026, and are projected to climb another 58–63% in Q2 2026. NAND flash jumped around 95% in Q1 with another 70–75% forecast for Q2. TrendForce pegged total DRAM industry revenue up 81% QoQ in the first quarter of 2026. When memory of every type is selling for nearly double quarter-on-quarter, a memory maker has no incentive to spin up extra GDDR7 lines for $400 gaming cards.

So NVIDIA is doing the rational thing for its margins: reallocating the scarce GDDR7 it can get toward fewer, higher-end SKUs. The reported plan to wind down the RTX 5060 Ti 16GB while keeping the 8GB version alive is the clearest signal — they’d rather put those memory chips on an RTX 5070 than “waste” them doubling up VRAM on a midrange card.

That logic is bad news for us specifically. Local AI is the one consumer workload where the 16GB-over-8GB difference isn’t a luxury — it’s the line between running a 13B model and not.

What this does to the used market

Here’s the part that catches people off guard: a supply freeze on new cards doesn’t leave used prices alone. It pushes them up.

The used RTX 3090 — 24GB of GDDR6X at 936 GB/s of bandwidth, still the value king for local inference — is the clearest example. As of June 2026, price trackers put the lowest average around $1,070, with a range of roughly $966 to $1,189. The notable part is the trajectory: the lowest average is up about 71.9% over the past four months. Back in early 2026 you could find clean 3090s in the $700–$850 range. That window is closing.

The RTX 4090 tells the same story from higher up: used units run around $2,000–$2,250, and new stock — where it exists — sits near $2,755, well above its original MSRP. When no new high-VRAM cards are coming, every used 24GB card on eBay becomes more valuable, not less.

This inverts the usual advice. Normally “wait for the next generation” is sound — prices fall, VRAM goes up, you get more for your money. In a memory shortage with no new launches, waiting means watching used prices climb while the new cards you’re waiting for either don’t ship or ship without the VRAM bump you wanted.

Buy now or wait? A budget-by-budget framework

The decision comes down to whether your target models fit in 24GB and how much risk you want to carry on a moving market.

Under ~$550 — buy a RTX 5060 Ti 16GB while it’s in stock. At 16GB and 448 GB/s, it runs every 7B–13B Q4 model comfortably and many 30B MoE models. With production reportedly being paused, the ~$400–$500 price is more likely to rise or vanish than to drop. If this is your card, don’t sit on the decision. We compared it head to head with the 3090 in our 5060 Ti 16GB vs used 3090 total-cost breakdown.

~$1,000–$1,200 — buy a used RTX 3090. This is the sweet spot for local AI and the recommendation that survives the shortage best. 24GB lets you run 32B-class models at Q4 and gives breathing room on context length; the 936 GB/s bandwidth delivers roughly 95 tok/s on a 7B model at Q4_K_M in llama.cpp. Yes, it costs more than it did in January. It will likely cost more still in September. Full analysis in our used RTX 3090 value piece.

~$2,000+ — used RTX 4090, or two 3090s. The 4090 buys you speed (around 127 tok/s on an 8B model) and 24GB. But two used 3090s give you 48GB of pooled VRAM for similar money, which matters more than raw speed once you’re loading 70B-class models. The catch is power and complexity — two 285W cards versus one 450W card, plus a PSU sized accordingly.

Whatever your budget — don’t wait for the RTX 50 SUPER as a VRAM play. Even if it lands in Q3 2026, two things are likely: it’ll launch into the same memory shortage (so expect inflated street prices, not MSRP), and the extra VRAM that justified it is exactly the component in shortest supply. Waiting six-plus months for a card that may ship late and above sticker is a weak bet when used 24GB hardware is on the shelf today.

The escape hatch: rent before you overpay

If the used market has priced you out, or you only need big-VRAM hardware for occasional jobs — a weekend of fine-tuning, testing whether a 70B model is even worth running locally — renting is the rational hedge in a supply crunch. A few hours on a cloud GPU through RunPod costs less than the shipping on a used 3090, and it lets you measure real tokens/sec on your actual model before you commit four figures to silicon whose price is climbing weekly. We worked through the full break-even in our rent-vs-buy analysis — and in a market where buying is harder than usual, the rent side of that ledger looks better than it did six months ago.

For developers whose main use is AI-assisted coding rather than model hosting, it’s also worth weighing whether you need local hardware at all right now versus a cloud-backed setup — our sister site aicoderscope.com covers that side of the stack.

The honest take

A frozen GPU lineup feels like a reason to wait. It’s the opposite. “Wait for the next gen” only works when the next gen is coming and prices fall while you wait. Right now neither is true: the next consumer architecture may be two years out, the mid-cycle refresh keeps slipping, and a memory shortage is pushing every card — new and used — up.

If your local-AI models fit in 24GB, a used RTX 3090 bought this month is the move. If you need 16GB and a warranty, grab a 5060 Ti 16GB before the production pause empties the shelves. And if you’re tempted to hold out for an RTX 50 SUPER with more VRAM — remember that the VRAM is the reason it doesn’t exist yet.

FAQ

Is NVIDIA really not releasing any new consumer GPUs in 2026? That’s what supply-chain reports covered by Tom’s Hardware and others indicate. No new RTX gaming GPUs are expected to launch in 2026, the RTX 50 SUPER refresh is delayed to Q3 2026 at the earliest, and the RTX 60 series has slipped toward 2028. These are reports based on board-partner briefings, not an official NVIDIA roadmap statement, so treat the exact dates as provisional — but the direction is consistent across many outlets.

Why are used GPU prices going up if no new cards are coming? Because the same memory shortage that’s blocking new launches makes existing high-VRAM cards more scarce and more valuable. Used RTX 3090 lowest-average prices are up roughly 72% over four months, sitting near $966–$1,189 as of June 2026.

Should I wait for the RTX 5060 Ti 16GB to get cheaper? No — reports say it’s being wound down so NVIDIA can redirect GDDR7 to the RTX 5070. Expect it to get harder to find and pricier, not cheaper. If you want one, buy it now.

What’s the best value GPU for local AI in this market? A used RTX 3090. 24GB of VRAM, 936 GB/s bandwidth, ~95 tok/s on a 7B model at Q4_K_M, and it’s the only sub-$1,200 path to running 32B-class models without offloading. Even at June 2026’s elevated ~$1,070 average, the VRAM-per-dollar still beats anything new.

Will the shortage end soon? Not on the consumer side first. Memory makers prioritize HBM and server DRAM for AI datacenters, and DRAM/NAND contract prices are still forecast to rise through Q2 2026. Consumer GDDR7 supply gets the leftovers, so expect tight conditions to persist into the second half of 2026.

Recommended Gear

• RTX 3090 (used, 24GB) — the value pick for local AI; 936 GB/s, ~95 tok/s on a 7B model, ~$966–$1,189 used in June 2026.
• RTX 5060 Ti 16GB — best new budget option at ~$400–$500, but stock is shrinking as production reportedly pauses.
• RTX 4090 — fastest 24GB consumer card (~127 tok/s on 8B), ~$2,000–$2,250 used.

Sources

• Report claims Nvidia will not release any new RTX gaming GPUs in 2026, RTX 60 series likely 2028 — Tom’s Hardware
• No NVIDIA GeForce RTX 50 “SUPER” GPUs This Year, RTX 60-Series Also Pushed Back — TechPowerUp
• NVIDIA GeForce RTX 50 SUPER reportedly slips to Q3 2026, RTX 5060 Ti 16GB in short supply soon — VideoCardz
• NVIDIA Reportedly Ends GeForce RTX 5070 Ti Production, RTX 5060 Ti 16 GB Next — TechPowerUp
• RTX 5060 Ti 16GB rumored to be discontinued over GDDR7 memory chip price increases — TweakTown
• DRAM prices predicted to jump 63% in Q2, NAND up to 75% — follows 95% jumps in Q1 — Tom’s Hardware
• Rapid Contract Price Surge Drives 1Q26 DRAM Industry Up 81% QoQ — TrendForce
• RTX 3090 Price Tracker US — Jun 2026 — Best Value GPU
• RTX 4090 Price Tracker US — Jun 2026 — Best Value GPU

Last updated June 13, 2026. Prices and specs change; verify current rates before purchasing. Launch dates and production claims are based on supply-chain reports, not official NVIDIA announcements.