Best Consumer GPUs for Running AI Locally (2026)

TL;DR

Top pick: GeForce RTX 5090 — 32 GB of GDDR7 at 1,792 GB/s, and the fastest consumer card at token generation in every lab test we read that included it: about 29% ahead of the RTX 4090 in Puget Systems' llama.cpp token generation, and 145 tok/s on Qwen3 8B and 51 tok/s on Qwen3 32B in Hardware Corner's lab. Its 32 GB holds dense 32B models with about 32K of context; a 70B model fits only at aggressive 3-bit quantization. Availability: the Amazon listing we link, GIGABYTE's RTX 5090 Gaming OC, had no purchasable offer in our last three US price checks, through 2026-10-12, and Tom's Hardware reported on 2026-09-14 that US online stock had vanished, with third-party sellers asking $6,500 to $9,500. [src1, src2, src3, src7, src10]

Best value: GeForce RTX 3090 (used) — 24 GB for the 30B-32B models no 16 GB card can load, at the speed of an RTX 5070 Ti on smaller ones (87 tok/s on Qwen3 8B in Hardware Corner's lab). Hardware Corner calls a used 3090 the top choice for a single-GPU setup, Compute Market its best budget 24 GB option, and XDA's buying advice of 2026-10-07 still picks one at the $1,000-plus that recent used sales reach. It is sold used only, without a warranty. Our link is Amazon's Renewed listing of the 3090 Founders Edition, which a marketplace seller offered at $1,949.99 in our 2026-10-12 check: about twice the used prices XDA reports, and not the value the outlets describe. [src3, src6, src7]

Best budget: Intel Arc B580 — 12 GB for a $250 launch price. In Puget Systems' MLPerf Client test it generated 96 tok/s, ahead of the RTX 5060 Ti, and Tom's Hardware found it the fastest card in its own review on MLPerf Client. Both ran it through Intel's OpenVINO path; Compute Market puts standard llama.cpp at about 15-20 tok/s, so the software you use decides how fast it is. Availability: Amazon's listing of Intel's Arc B580 Limited Edition, the version both labs tested, had no purchasable offer in our last three US price checks, through 2026-10-12. [src2, src4, src8, src1]

Best entry-level 16 GB: GeForce RTX 5060 Ti 16GB — Hardware Corner's best price-to-performance card: 51 tok/s on Qwen3 8B, and the 16 GB that holds 13B-20B models, which do not fit on 12 GB cards. Tom's Hardware measured 40% more tokens per second than the RTX 4060 Ti 16GB. Buy the 16 GB version: Compute Market says to avoid the 8 GB one for AI work. Amazon had no purchasable offer for it in our 2026-10-12 price check. [src3, src5, src8]

Best you can buy today: GeForce RTX 5080 — Amazon.com listed it at $1,829.97, low stock, in our 2026-10-12 price check, the only pick Amazon.com itself had in stock that day. It is the fastest 16 GB card in Hardware Corner's lab (94 tok/s on Qwen3 8B) and landed just short of the RTX 4090 in Puget Systems' token-generation test, but 16 GB still rules out 27B-32B models at 4-bit, as XDA's writer found on his own RTX 5080. [src3, src1, src6]

VRAM decides which models you can run; bandwidth decides how fast they answer. Buy the most VRAM you can afford, then the fastest card in that tier. [src3, src6]

The outlets agree on the top and on value: Puget Systems and Hardware Corner both measured the RTX 5090 fastest, and Hardware Corner, XDA and Compute Market all point value buyers to a used RTX 3090 [src1, src2, src3, src6, src7]. Compute Market alone still names the RTX 4090 best value, but it is out of production (see the alternatives) [src7, src12]. On budget they split: Hardware Corner prefers the RTX 5060 Ti 16GB, while Compute Market's budget guide and Puget Systems' MLPerf results favor the cheaper Arc B580 [src3, src8, src2]. We rank by that evidence, not by stock: the RTX 5090 stays first although Amazon had no offer for it in our last three checks, through 2026-10-12, and the RTX 5080, low stock at Amazon.com in our 2026-10-12 check, is labelled as the pick you can buy today. The table at the top of the page shows today's price and stock for every pick.

Local AI on a consumer card is a memory question first. In Hardware Corner's lab, 16 GB cards loaded a 14B model with a 32K context but no 30B-32B model, 24 GB cards ran 30B-32B models at 4-bit, and the 32 GB RTX 5090 ran dense 32B models with about twice the context [src3]. Compute Market adds that a 70B model fits the 5090 only at about 3-bit [src7]. Within a memory tier, bandwidth sets the speed: the RTX 5090's 1,792 GB/s put it 27-29% ahead of the RTX 4090 in Puget Systems' two LLM tests [src1, src2].

The market is the other half of the answer. In February 2026 Tom's Hardware reported, citing The Information, that NVIDIA planned no new GPUs in 2026, with the 24 GB RTX 50 SUPER refresh set aside during a memory shortage [src11]. On 2026-09-14 it found no RTX 5090 left at US online retailers except from third-party sellers at $6,500 to $9,500 [src10], and on 2026-10-07 XDA found the cheapest RTX 5070 Ti at $1,120 and used RTX 3090s selling for around $1,000 and up, after $600 to $800 earlier in the year [src6]. Every price on this card is dated for that reason.

Software is the third factor. CUDA runs everywhere; Intel's Arc B580 posted its MLPerf wins through Intel's OpenVINO path, and Compute Market puts it at about 15-20 tok/s in standard llama.cpp [src2, src4, src8]. AMD's RX 7900 XTX is the other 24 GB option: XDA calls it credible on Linux with ROCm for buyers willing to learn a new stack, and Compute Market says ROCm 7.2 fixed AMD's AI software story [src6, src9].

Best Overall: GeForce RTX 5090 — Check price

The fastest consumer card at token generation in every lab test we read that included it. Puget Systems measured it about 29% ahead of the RTX 4090 in llama.cpp token generation and 27% ahead in MLPerf Client [src1, src2], and in Puget's first test it was the only card under 100 ms to the first token [src1]. Hardware Corner recorded 145 tok/s on Qwen3 8B, 103 on Qwen3 14B and 51 on Qwen3 32B at a 16K context, and calls it "the new speed leader for consumer GPUs" [src3]. Its 32 GB of GDDR7 at 1,792 GB/s (575 W, $2,000 launch price) runs dense 32B models with about 32K of context [src1, src3]; a 70B model fits only at aggressive 3-bit quantization, according to Compute Market [src7].

Availability (checked through 2026-10-12): the Amazon listing we link, GIGABYTE's RTX 5090 Gaming OC, had no purchasable offer in our last three US price checks, through 2026-10-12. Tom's Hardware reported on 2026-09-14 that the card had vanished from US online retail apart from third-party sellers asking $6,500 to $9,500, and it advised against buying from them; XDA put the price at $5,000 or more on 2026-10-07 [src10, src6]. Best you can buy today among this card's picks is the RTX 5080 below.

Best Value: GeForce RTX 3090 (used) — Check price

The value pick of three outlets for one reason: 24 GB. Hardware Corner measured 87 tok/s on Qwen3 8B, "nearly identical to the newer RTX 5070 Ti", and 30 tok/s on Qwen3 32B, a model no 16 GB card can load, and calls a used 3090 "the top choice for a single-GPU setup" [src3]. Compute Market calls it the best budget 24 GB option [src7]. XDA's writer, who owns an RTX 5080, says he would still buy a used 3090 for local AI because 27B-32B models fit on it and not on his card [src6]. The catches, per XDA: no new RTX 3090s are made, used ones carry no warranty and often need new thermal pads, and used prices climbed from $600-$800 earlier in 2026 to around $1,000 and up by 2026-10-07 [src6].

What our link sells (checked 2026-10-12): Amazon's Renewed listing of the RTX 3090 Founders Edition, offered by a marketplace seller at $1,949.99, about twice the used prices XDA reports and more than Amazon.com charged for a new RTX 5080 that day. At that price the value case the outlets make does not hold; it rests on a used card near $1,000 [src6].

Best Budget: Intel Arc B580 — Check price

The cheapest card on this page: 12 GB of GDDR6 at 456 GB/s, 190 W, $250 at launch [src1]. In Puget Systems' MLPerf Client test it generated 96 tok/s, "beating the RTX 5060 Ti and 5060", and Intel's Arc cards had the fastest time to first token [src2]. Tom's Hardware, testing the Arc B580 Limited Edition, found it the fastest card in its review on MLPerf Client but suspects "a lot of that comes from the OpenVINO tuning", and it came last in SPECworkstation's AI inference test [src4]. Compute Market's budget guide makes it the #1 pick and puts it at about 15-20 tok/s in standard llama.cpp, versus 62 tok/s through Intel's IPEX-LLM; it recommends it under $300 "if you're comfortable with Intel's software stack" [src8].

Availability (checked through 2026-10-12): Amazon's listing of Intel's Arc B580 Limited Edition, the version Tom's Hardware and Puget Systems tested, had no purchasable offer in our last three US price checks, through 2026-10-12. Neither the Arc B580 nor the RTX 5060 Ti 16GB had an Amazon offer in our 2026-10-12 check.

Best Entry-Level 16 GB: GeForce RTX 5060 Ti 16GB — Check price

Hardware Corner's budget pick, for "the best price-to-performance": 51 tok/s on Qwen3 8B against 34 for the RTX 4060 Ti 16GB, and 82 tok/s on gpt-oss 20B. Its 16 GB holds the 13B-20B models that do not fit on 12 GB cards, and a 14B model with a 32K context [src3]. Tom's Hardware measured 40% more tokens per second than the 4060 Ti 16GB in MLPerf Client and more than double the 4060 Ti 8GB's Stable Diffusion XL speed, which needs the extra memory [src5]. In Puget Systems' MLPerf Client test, which ran Intel cards through OpenVINO, the cheaper Arc B580 generated tokens faster [src2]. 448 GB/s, 180 W [src8]; launch price $430 [src5]. Make sure the listing says 16GB; Compute Market says to avoid the 8 GB version for AI work [src8]. Amazon had no purchasable offer for it in our 2026-10-12 price check.

Best You Can Buy Today (low stock at Amazon.com when we checked on 2026-10-12): GeForce RTX 5080 — Check price

Amazon.com listed it at $1,829.97, low stock, in our 2026-10-12 price check, the only pick Amazon.com itself had in stock that day. It is a strong card held back by its memory: the fastest 16 GB card in Hardware Corner's lab, at 94 tok/s on Qwen3 8B and 140 tok/s on gpt-oss 20B [src3], and "just short of the RTX 4090's performance" in Puget Systems' llama.cpp token generation [src1]. But 16 GB cannot hold 27B-32B models at 4-bit, as XDA's writer found on his own RTX 5080 [src6]. Specs: 960 GB/s, 360 W, $1,000 at launch [src1]; XDA put its street price at about $1,600 on 2026-10-07 [src6].

Alternative — faster 16 GB: GeForce RTX 5070 Ti — Check price

Hardware Corner measured 88 tok/s on Qwen3 8B and 133 tok/s on gpt-oss 20B, level with a used RTX 3090 on the smaller model, but it shares the 16 GB limit, and Hardware Corner judges that its gains over the RTX 5060 Ti "don't justify the jump for users limited to 16GB VRAM" at nearly double the cost [src3]. Compute Market says its 16 GB limits it for LLMs but that "for image generation, the 5070 Ti offers excellent performance per dollar" [src7]. 896 GB/s, 300 W, $750 at launch [src1]; XDA found the cheapest at $1,120 on 2026-10-07 [src6]. Amazon had no purchasable offer for it in our 2026-10-12 price check.

Alternative — out of production: GeForce RTX 4090 — Check price

Still a fast 24 GB card: 104 tok/s on Qwen3 8B and 38 tok/s on Qwen3 32B in Hardware Corner's lab, though the RTX 5090 led it by about 29% in Puget Systems' token generation [src3, src1]. Compute Market still calls it the best value [src7], but PC Gamer reported in November 2024 that NVIDIA was ending production of the AD102 chip inside it, and Compute Market's own AMD guide calls it end-of-life [src12, src9]. 1,008 GB/s, 450 W, $1,600 at launch [src7, src1]. Amazon had no purchasable offer for it in our 2026-10-12 price check.

Alternative — AMD, 24 GB: Radeon RX 7900 XTX — Check price

The fastest non-NVIDIA card in Puget Systems' MLPerf Client test at 127 tok/s, just ahead of the RTX 5070 [src2], with 24 GB of GDDR6 at 960 GB/s, 355 W and a $1,000 launch price [src1]. Compute Market's AMD guide calls it the best AMD GPU for local LLM inference under $1,000, on ROCm 7.2 [src9]; XDA calls it "a credible choice for someone who only runs LLMs on Linux through ROCm" and found it at $700 to $900 on 2026-10-07 [src6]. Amazon had no purchasable offer for the listing we link in our 2026-10-12 price check.

Alternative — 12 GB: GeForce RTX 5070 — Check price

59 tok/s on Qwen3 8B and 41 tok/s on Qwen3 14B at a 16K context in Hardware Corner's lab [src3], and just behind the RX 7900 XTX's 127 tok/s in Puget Systems' MLPerf Client test [src2]. Its 12 GB rules out the 13B-20B models with long context that 16 GB cards hold [src3]. 672 GB/s, 250 W, $550 at launch [src1]. Amazon had no purchasable offer for it in our 2026-10-12 price check.

Head-to-Head Comparisons

RTX 5090 vs RTX 4090

The RTX 5090 led the RTX 4090 by about 29% in Puget Systems' llama.cpp token generation and 27% in MLPerf Client [src1, src2]; Hardware Corner measured 145 against 104 tok/s on Qwen3 8B and 51 against 38 tok/s on Qwen3 32B [src3]. The 5090 adds 8 GB, enough for dense 32B models with long context [src3]. The 4090 is reportedly out of production [src12], and Amazon had no offer for either in our 2026-10-12 check.

Pick RTX 5090 if: you need the most memory and speed a consumer card offers.
Pick RTX 4090 if: you already own one, or find one well below a 5090's price.

Used RTX 3090 vs RTX 5070 Ti

The same speed on an 8B model (87 against 88 tok/s in Hardware Corner's lab), but only the 3090's 24 GB runs 30B-32B models [src3]. On 2026-10-07 XDA found the cheapest 5070 Ti at $1,120 and used 3090s at around $1,000 and up [src6]. The 5070 Ti is new, with a warranty, and draws 300 W against 350 W [src6, src1, src7].

Pick a used RTX 3090 if: you want 30B-32B models and accept a used card without a warranty.
Pick RTX 5070 Ti if: 14B-20B models are enough and you want a new card.

RTX 5080 vs RTX 5070 Ti

Both have 16 GB of GDDR7. The RTX 5080 was about 8% faster on Qwen3 8B (94 against 88 tok/s) and about 6% on gpt-oss 20B (140 against 133) in Hardware Corner's lab [src3], for a $1,000 against $750 launch price [src1] and about $1,600 against $1,120 on the street on 2026-10-07 [src6]. Both load the same models [src3].

Pick RTX 5080 if: you want it now (low stock at Amazon.com in our 2026-10-12 check) or also game on it.
Pick RTX 5070 Ti if: you can find one; it does nearly the same AI work for less.

Used RTX 3090 vs RX 7900 XTX

Both have 24 GB. The RX 7900 XTX ran 127 tok/s in Puget Systems' MLPerf Client test [src2]; the 3090 was not in that test, and Hardware Corner, which tested the 3090, did not test the XTX, so no lab we read compares them directly [src3]. XDA prefers the 3090 for plug-and-play CUDA and calls the XTX credible for Linux with ROCm, found at $700 to $900 on 2026-10-07 [src6]; Compute Market's AMD guide says ROCm 7.2 fixed AMD's AI software story [src9].

Pick a used RTX 3090 if: you want CUDA's compatibility on Windows or Linux.
Pick RX 7900 XTX if: you run Linux and are comfortable with ROCm.

Intel Arc B580 vs RTX 5060 Ti 16GB

In Puget Systems' MLPerf Client test the Arc B580 generated 96 tok/s and beat the RTX 5060 Ti [src2], but it ran through Intel's OpenVINO, and Compute Market puts it at about 15-20 tok/s in standard llama.cpp [src8]. The 5060 Ti brings 4 GB more memory, the 13B-20B models that need it, and CUDA [src3]. Launch prices: $250 and $430 [src1, src5].

Pick Arc B580 if: you are spending the least possible and are comfortable with Intel's software.
Pick RTX 5060 Ti 16GB if: you want 16 GB and CUDA.

Decision Logic

If you want the most capable single card and can find one

→ RTX 5090: 32 GB, the fastest consumer card at token generation in every lab test we read that included it. Amazon had no offer for it in our last three checks, through 2026-10-12, and Tom's Hardware found third-party prices of $6,500 to $9,500 in September 2026 [src3, src10].

If you want 30B-32B models for the least money with CUDA

→ Used RTX 3090: 24 GB at RTX 5070 Ti speed on smaller models; expect around $1,000 used and no warranty [src3, src6]. Without CUDA, the RX 7900 XTX is the cheaper 24 GB route on Linux with ROCm: XDA found it at $700 to $900 on 2026-10-07 [src6].

If you must order today from Amazon.com

→ RTX 5080: $1,829.97, low stock, in our 2026-10-12 check; 16 GB limits it to models up to about 20B [src3, src1].

If budget is under $300

→ Intel Arc B580: 12 GB for 7B-8B models, if you are comfortable with Intel's software stack [src8, src2].

If you want 16 GB new on a tight budget

→ RTX 5060 Ti 16GB: Hardware Corner's best price-to-performance; avoid the 8 GB version [src3, src8].

If you run Linux and want 24 GB from AMD

→ RX 7900 XTX with ROCm [src9, src6, src2].

If primary use is image generation

→ 16 GB or more. In Tom's Hardware's test the 16 GB RTX 5060 Ti delivered more than double the 8 GB RTX 4060 Ti's Stable Diffusion XL performance, because SDXL needs more memory [src5], and full-precision versions of the larger diffusion models exceed 16 GB, XDA notes [src6]. Compute Market rates the RTX 5070 Ti highly for image generation [src7].

Default recommendation

→ Used RTX 3090 if you accept a used card; otherwise the RTX 5060 Ti 16GB on a budget or the RTX 5090 if you can find one [src3, src6].

• No new GeForce cards this year: Tom's Hardware reported in February 2026, citing The Information, that NVIDIA planned no new GPUs in 2026, with the RTX 50 SUPER refresh, including 24 GB versions of the RTX 5080 and 5070 Ti, set aside during the memory shortage; NVIDIA said "memory supply is constrained" [src11].
• RTX 5090 scarcity: by 2026-09-14 the card had vanished from US online retail except from third-party sellers at $6,500 to $9,500, which Tom's Hardware attributes to AI buyers [src10]; XDA put it at $5,000 or more on 2026-10-07 [src6].
• Used RTX 3090 prices rising: XDA saw used listings at $600 to $800 earlier in 2026 and sold listings around $1,000 and up by October [src6].
• Memory over speed: Hardware Corner groups its ranking by memory tier, and XDA argues that local AI is "more limited by memory capacity" than by compute [src3, src6].
• Software stacks matter outside CUDA: the Arc B580's MLPerf wins come through Intel's OpenVINO [src2, src4], and Compute Market says ROCm 7.2, released in March 2026, fixed AMD's AI software story for cards like the RX 7900 XTX [src9].
• RTX 40 series out of production: PC Gamer reported in November 2024 that NVIDIA had stopped making almost all RTX 40 GPUs, the RTX 4090's AD102 chip included [src12].

• Prices on this card are dated. Launch prices come from Puget Systems' spec table and Tom's Hardware [src1, src5]; street prices from XDA on 2026-10-07 [src6] and Tom's Hardware on 2026-09-14 [src10]; Amazon prices from our 2026-10-12 check. Compute Market lists the RTX 5090 at $1,999-$2,199 and the RTX 4090 at $1,599-$1,999 [src7], far below what Tom's Hardware and XDA found, so this card does not use those figures. The table at the top of the page shows today's price and stock.
• The speed figures come from two different benchmarks: Hardware Corner's llama.cpp runs at 4-bit and 16K context on Linux [src3], and Puget Systems' MLPerf Client on Windows, with Intel cards on OpenVINO [src2]. Compare cards within one benchmark, not across them.
• Puget Systems found the RTX 5090's and 5080's llama.cpp prompt processing anomalously low in its early 2025 test and blames a likely driver issue [src1].
• A used RTX 3090 has no warranty and may need new thermal pads; XDA relies on eBay's money-back guarantee when buying one [src6].
• The RTX 5060 Ti also comes with 8 GB; Compute Market says to avoid that version for AI work [src8].
• Intel Arc B580 speed depends on the software: about 15-20 tok/s in standard llama.cpp against 62 tok/s through IPEX-LLM in Compute Market's figures [src8], and Tom's Hardware saw it fall to last place in SPECworkstation's AI test [src4].