Best Time to Buy a GPU: Price Cycles and Timing

GPU prices follow recognizable patterns. New generations launch, old cards drop. Seasonal sales create windows. Crypto booms and busts flood or drain the used market. If you understand these cycles, you can avoid paying more than you need to for the same card.

This guide breaks down when GPU prices move and why, so you can buy at the right moment instead of overpaying. It does not list current prices; it explains how to judge the price in front of you.

The NVIDIA Launch Cycle

NVIDIA has historically released new GeForce generations roughly every two years, though the cadence has become less predictable. Here is the recent pattern:

• RTX 30 series (Ampere): September 2020
• RTX 40 series (Ada Lovelace): October 2022
• RTX 50 series (Blackwell): announced January 2025. The RTX 5090 ($1,999 MSRP) and RTX 5080 ($999) went on sale January 30, 2025, and the RTX 5070 Ti ($749) and RTX 5070 ($549) followed in February.

The price cycle around each launch tends to follow a similar shape:

Before launch (rumor phase). Retailers stop discounting current-generation cards and supply of the outgoing models tightens. Prices hold steady or creep up. This is usually a poor time to buy.

Launch month. The flagship arrives first, and launch supply is often limited. Used prices for the previous flagship often soften as early adopters sell their old cards. Midrange and budget models from the new generation follow over the next few months.

A few months after launch. This is often the best window for used cards. Upgraders have listed their old GPUs, secondhand supply peaks, and prices for the previous generation tend to bottom out.

Six to twelve months after launch. Used prices settle at a new floor, and the previous generation becomes the value pick. The used RTX 3090 is the standard example: after the RTX 40 series arrived, it became a popular way to get 24GB of VRAM.

When the pattern breaks. Supply shortages can stop prices from falling on schedule. When a new card is scarce, street prices can sit above MSRP for months, and used prices for the previous flagship can hold up instead of dropping. Compare the current street price with the MSRP and with recent sold listings before assuming a discount is coming.

What to Do With This Information

If NVIDIA announced a new generation within the past few months, shop the used market for the previous generation. If the current generation is more than 18 months old and no successor has been announced, buy when you need the card, because mid-cycle prices rarely drop without competitive pressure.

The AMD Launch Cycle

AMD follows a similar but slightly offset pattern:

• RX 6000 series (RDNA 2): November 2020
• RX 7000 series (RDNA 3): December 2022
• RX 9000 series (RDNA 4): the RX 9070 XT ($599) and RX 9070 ($549), both with 16GB, launched on March 6, 2025

AMD’s cycle differs from NVIDIA’s in a few important ways:

AMD targets the midrange first. Where NVIDIA leads with its flagship, AMD’s RDNA 4 lineup started with the RX 9070 series and expanded downward with the RX 9060 XT, announced in May 2025 at $299 for 8GB and $349 for 16GB. That means AMD’s new-generation value options arrive sooner.

Previous-generation cards stay on the shelf. Older cards such as the 16GB RX 7600 XT can remain in stores next to their RDNA 4 replacements. Compare them with the RX 9060 XT at current prices before assuming the older card is the better value.

AMD supports fewer AI tools and cards. For home lab builders running local LLMs, AMD’s ROCm software supports fewer cards and tools than NVIDIA’s CUDA ecosystem, which reduces AMD’s appeal for AI workloads. See NVIDIA vs AMD for LLMs for a detailed breakdown.

The Intel Factor

Intel’s Arc GPUs, particularly the 12GB Arc B580, which Intel launched in late 2024 at a $249 recommended price, have added a third competitor in the budget segment. Watch Intel’s pricing when new Arc generations launch.

Used GPU Market Dynamics

The used market is where the biggest savings happen, and it is driven by three forces: generational upgrades, crypto mining, and enterprise and AI hardware turnover.

The Upgrade Cycle

Every time NVIDIA or AMD launches a new generation, a wave of enthusiasts sell their current cards. The pattern tends to repeat:

• First couple of weeks after launch: Early sellers list at optimistic prices. Avoid buying here.
• The following weeks: Prices start dropping as more sellers compete.
• Roughly two to three months in: The best offers appear, and sellers who held out start accepting lower offers.
• After that: Supply of used cards thins out. Prices stabilize and may even tick up slightly.

To set a target price, filter eBay results to sold listings and look at what the exact model actually sold for over the past month or two. Asking prices, and the price on any single listing, are not the market.

The RTX 3090 is the textbook example. It arrived in September 2020, was hard to find at retail during the mining boom, and became a popular used card once mining profitability collapsed and the RTX 40 series arrived. It remains one of the most common ways to get 24GB of VRAM for running local LLMs.

Crypto Market Effects

The 2020-2022 crypto mining boom distorted GPU pricing in ways that took years to unwind:

During mining booms, GPUs sold above MSRP and availability at retail was poor.

After the Ethereum Merge. When Ethereum moved to proof of stake in September 2022, GPU mining profitability collapsed. Mining farms liquidated their cards, flooding the used market and pushing used prices down.

The current state. GPU mining has not been broadly profitable since the Merge, and the flood of ex-mining cards has largely been absorbed. If a new proof-of-work cryptocurrency makes GPU mining profitable again, expect upward pressure on midrange GPU prices. Mining profitability calculators are a useful leading indicator.

Are ex-mining cards safe to buy? Generally, yes. Mining GPUs often ran at steady temperatures, which avoids the thermal cycling of gaming sessions. The weak points are fans (which wear out from constant operation), thermal paste (which dries out), and memory that ran hot for long periods. Fans and paste are inexpensive fixes; hot-running memory is why you should run a VRAM test after purchase. Avoid any card with a modified BIOS or physical damage to the PCB.

Where to Buy Used GPUs

• eBay: Largest selection, buyer protection through the platform. Watch for sellers with established histories and return policies.
• r/hardwareswap (Reddit): Often cheaper than eBay because sellers avoid marketplace fees. Requires more trust and diligence.
• Facebook Marketplace / Craigslist: Best for local deals where you can test the card before buying. No buyer protection.
• Refurbished from Amazon or the manufacturer: Usually higher prices but with warranty or return coverage. Good for risk-averse buyers.

For a broader look at buying used and refurbished hardware, see best refurbished home lab gear.

Seasonal Sales Patterns

Not all sales events are equal for GPUs. Here is what to expect.

Black Friday and Cyber Monday (Late November)

Expect: modest discounts, larger on cards late in their cycle

GPU discounts at Black Friday are usually modest, and how much you save depends on the generation cycle. Cards that have been on the market for six months or more are the likeliest to be discounted. New or scarce cards may barely move, and in a tight market a “sale” price can still be above MSRP. In 2026, Black Friday is November 27 and Cyber Monday is November 30.

Watch prices for a few weeks before the event, because some retailers raise prices beforehand to make discounts look bigger. Use Keepa or CamelCamelCamel for Amazon listings, and PCPartPicker’s price-trend charts, which show 18 months of average and minimum-to-maximum prices for each GPU chipset, to see whether a sale price is actually low.

For Black Friday strategy across all home lab categories, see our home lab Black Friday guide.

Amazon Prime Day and Prime Big Deal Days

Expect: smaller discounts, mainly on midrange cards

Amazon’s Prime events are the secondary windows for GPUs. Prime Day ran June 23-26 in 2026, and Prime Big Deal Days runs October 6-7, 2026; both require Prime. They matter most for midrange and budget cards, such as the RTX 5060 Ti 16GB and its competitors.

Flagship cards such as the RTX 5090 rarely see meaningful Prime discounts, especially when supply is tight.

Labor Day / Back-to-School (September)

Expect: minor discounts

Minor discounts, mainly at Best Buy and Newegg. Occasionally useful if it coincides with a new GPU launch, as retailers clear old inventory. Not worth waiting for specifically.

Post-Holiday (January)

Expect: indirect benefits on the used market

January is when upgrade recipients sell their old cards. People who received new GPUs for the holidays list their previous cards on eBay and r/hardwareswap. This creates a brief window of good used offers, particularly for cards one generation behind the latest.

When Sales Do Not Help

A newly launched card rarely sees a real discount in its first sales event, because supply is still catching up with demand. Sales help most for cards that have been on the market for six months or more.

AI and LLM Considerations

If you are buying a GPU for local AI inference rather than gaming, the buying calculus changes. VRAM matters more than architecture generation, and that shifts both when and what you should buy.

VRAM Is the Constraint

A 24GB RTX 3090 runs the same LLMs as a 24GB RTX 4090, just more slowly. An 8GB RTX 4060 cannot fit those models in VRAM at all, however new its architecture. For a detailed breakdown of VRAM requirements by model size, see how much VRAM for LLMs.

This makes the used market disproportionately valuable for AI buyers. A used RTX 3090 has the same 24GB as a used RTX 4090 and usually sells for considerably less; compare recent sold listings for both.

The Tesla P40 (used) also has 24GB, but it is a 2016 Pascal datacenter card with caveats for a home lab:

• It has no display outputs and relies on server-style forced airflow, so it suits headless inference servers only.
• Check the power connector type before buying; many P40s need an adapter to work with a desktop power supply.
• NVIDIA has said its 580 driver series is the last to support Pascal GPUs, so plan for an aging software stack.

For a full cost analysis of GPU options for AI on a budget, see home lab AI on a budget.

When to Buy GPUs for AI

The best time to buy a GPU for AI inference is whenever you find a high-VRAM card at a good price. Unlike gaming, where the newest architecture matters for frame rates and features, local inference benefits most from memory capacity. A 24GB card fits roughly 32B-class models at 4-bit quantization, which a 12GB or 16GB card cannot. A 70B model at 4-bit needs about 40GB or more, which means two 24GB cards or a larger single card.

Watch for these opportunities:

• RTX 3090 / 3090 Ti used: Supply tends to rise after NVIDIA launches. Set your target from recent sold listings for the exact model.
• RTX 4090 used: Still expensive. Used prices depend heavily on how easy it is to buy an RTX 5090.
• Tesla P40 used: Enterprise datacenter decommissions create periodic supply surges. Budget for cooling and a power adapter, and keep the driver end of support in mind.
• Dual-GPU setups: Two used RTX 3090s give you 48GB of VRAM, enough for a 70B model at 4-bit quantization. Compare the pair’s total with a single 32GB RTX 5090 at current street prices.

Common Mistakes

Buying at launch. Flagship GPUs are at their most expensive in their first months, and launch supply is often limited, so street prices can run above MSRP until supply catches up. If you are not in a rush, wait for supply to stabilize.

Ignoring the used market. A used 24GB RTX 3090 can load models that 8GB cards such as the RTX 4060 and RTX 5060 cannot fit at all. The stigma around used GPUs is overblown: GPU silicon rarely wears out from normal use. Heat-stressed memory and worn fans are the real risks, so test the card before the return window closes.

Waiting forever. The flip side of “do not buy at launch” is “do not wait indefinitely.” If prices have been stable for six months or more, the current price is the price. GPU makers have little incentive to cut prices on cards that are selling. Buy and start using the hardware.

Chasing sales on flagship cards. The RTX 5090 rarely goes on sale. If you want a flagship, decide what you are willing to pay relative to its $1,999 MSRP and buy when a reputable seller meets it. The previous-generation RTX 4090 is now mainly a used-market card, so do not treat leftover new stock at reseller prices as a normal new price.

Overlooking total cost. A Tesla P40 needs forced airflow, usually a power adapter, and room in your power budget for its 250W maximum draw. A current consumer card such as the Arc B580 installs like any desktop GPU. Factor in the platform cost, power consumption, and cooling before comparing GPU prices in isolation.

Wrap-Up

GPU pricing is cyclical, and the cycles are knowable. The three most reliable buying windows are:

1. A few months after a new generation launches, for used previous-generation cards at their lowest prices.
2. Black Friday and Cyber Monday, for modest discounts on cards that have been on the market for six months or more.
3. Amazon’s Prime events, for smaller discounts, mainly on midrange cards.

Outside these windows, prices are relatively flat. If you see a card at or near its recent low and you need it, buy it. The worst thing you can do is wait six months for a small discount while missing out on months of use.

Before you buy, run the offer through our checklist for judging a home lab deal.