GPUs tracked45Price history8 dayssince Sep 3, 2026Price points (24h)7,968 pointsBiggest 24h dropGeForce RTX 5070 Ti-6.3%Biggest 24h riseRTX PRO 4000 Blackwell+7.7%Data updated

GPU price index

100.2
+0.4%Base 100 · 28 cards, equal weight

Lowest price per GB

$19.1 / GB16 GB900 GB/s

Lowest price per 100 GB/s

$33.9 / 100GB/s16 GB900 GB/s

Lowest price per TOPS

$2.04 / TOPS16 GB640 GB/s

Latest release

770BQ4 weights 467.3 GB

Biggest 24h drops

  1. 1GeForce RTX 5070 Ti$1,200-6.3%
  2. 2Tesla V100 32GB$720-2.6%
  3. 3GeForce RTX 5070$775-1.9%
  4. 4GeForce RTX 5090$6,500-1.5%
  5. 5Radeon RX 7800 XT$568-1.2%

Biggest 24h rises

  1. 1RTX PRO 4000 Blackwell$2,950+7.7%
  2. 2MacBook Pro M5 Max 128GB$7,250+6.6%
  3. 3Radeon RX 9070 XT$795+6.0%
  4. 4Mac Studio M3 Ultra 512GB$22,000+2.3%
  5. 5Tesla V100 16GB$305+1.7%

Most listings

  1. 1GeForce RTX 3090$1,55080 listings
  2. 2GeForce RTX 4090$3,19940 listings
  3. 3Tesla V100 16GB$30534 listings
  4. 4GeForce RTX 4080$1,26330 listings
  5. 5Radeon RX 7900 XTX$99925 listings

Latest releases: minimum VRAM

  1. 1Hy4 preview770B18 GB
  2. 2GLM 5.3744B41 GB
  3. 3GLM 5.3 Flash320B30 GB
  4. 4Qwen3.8 Flash Next176B4 GB
  5. 5DeepSeek V4 Pro1,600B17 GB
Updated 2 hours ago
#Model30d trendEcosystemBuy
1RTX PRO 6000 Blackwell$16,9854 listings0.0%961,7925001,000600$177$948$17CUDA
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2GeForce RTX 5090$6,50012 listings-1.5%321,792419838575$203$363$7.8CUDA
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3GeForce RTX 4090$3,19940 listings0.0%241,008330.3660.6450$133$317$4.84CUDA
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4A100 40GB PCIe$4,89913 listings0.0%401,555312624250$122$315$7.9CUDA
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5GeForce RTX 5080$1,80014 listings0.0%16960225.1450.2360$113$188$4CUDA
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6RTX PRO 4500 Blackwell$4,300Using previous price3 listings0.0%32896202.1404.3200$134$480$10.6CUDA
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7GeForce RTX 4080$1,26330 listings+1.0%16717195389.9320$79$176$3.24CUDA
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8Radeon RX 9070 XT$79512 listings+6.0%16640195389304$49.7$124$2.04ROCm
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9GeForce RTX 5070 Ti$1,20010 listings-6.3%16896175.8351.5300$75$134$3.41CUDA
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10RTX PRO 4000 Blackwell$2,9503 listings+7.7%24672161.3322.5145$123$439$9.2CUDA
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11GeForce RTX 3090$1,55080 listings+0.3%24936142.3284.7350$65$166$5.5CUDA
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12GeForce RTX 5070$77523 listings-1.9%12672123.5247250$65$115$3.14CUDA
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13GeForce RTX 2080 Ti 22GB$5513 listings0.0%22616215.2250$25.1$89$2.56CUDA
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14GeForce RTX 5060 Ti 16GB$70012 listings-0.7%1644894.9189.8180$43.8$156$3.69CUDA
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15Instinct MI210$5,04611 listings0.0%641,638181181300$79$308$27.9ROCm
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16Radeon PRO W7900$3,495Using previous price3 listings0.0%30h48864123123295$73$405$28.4ROCm
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17Radeon RX 7900 XTX$99925 listings0.0%24960123123355$41.6$104$8.1ROCm
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18Radeon RX 7900 XT$70024 listings+0.1%20800103103315$35$88$6.8ROCm
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19Radeon RX 6950 XT$5009 listings0.0%1657647.394.6335$31.3$87$5.3ROCm
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20Instinct MI100$9997 listings0.0%321,22992.392.3300$31.2$81$10.8ROCm
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21Radeon RX 7800 XT$56824 listings-1.2%1662474.774.7263$35.5$91$7.6ROCm
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22Instinct MI50 32GB$7687 listings-0.1%321,02426.553300$24$75$14.5ROCm
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23Mac Studio M3 Ultra 512GB$22,00011 listings+2.3%512819480$43$2,686Metal
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24Mac Studio M4 Max 128GB$6,5474 listings0.0%128546480$51$1,199Metal
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25MacBook Pro M4 Max 128GB$5,5493 listings0.0%128546140$43.4$1,016Metal
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26MacBook Pro M5 Max 128GB$7,2505 listings+6.6%128614140$57$1,181Metal
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27Tesla V100 16GB$30534 listings+1.7%16900112250$19.1$33.9CUDA
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28Tesla V100 32GB$72023 listings-2.6%32900112250$22.5$80CUDA
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Choose hardware for local LLM deployment

Find the right GPU for local LLMs. Compare VRAM, GPU prices and model memory requirements to choose hardware that fits your models and budget.

What is VRAM, and how much do you need?

VRAM is the fast memory on a graphics card. Local LLM inference needs space for model weights, the context (KV) cache and runtime buffers. Quantization can reduce weight memory, while longer prompts and more simultaneous users need additional memory. A model fitting in VRAM does not guarantee a particular speed.

Compare model VRAM requirementsWhat runs on 16GB of VRAM?

Plan a local deployment

Choose a model and quantization, set the context length, and check both GPU memory and system RAM. CPU or expert offloading can make a large model fit with less VRAM, but it depends on RAM bandwidth and can be much slower. Check CUDA, ROCm or Metal support before buying hardware.

Local LLM hardware and deployment guides

Read the rankings and price data

Compare VRAM capacity first, then bandwidth, power and software support. Our prices are median asking prices, not completed sales; sample counts, observation dates and stale-price labels help you judge their usefulness. INT8 throughput alone is not an LLM benchmark.

Price sources and calculation methods

Prices are median asking prices, not sold prices · Methodology