Dual used RTX 3090 48GB
£3,988
Parts
Compatibility: No problems found.Est. load 895 W of 1200 W · spikes to 1315 W
| Component | Selection | Price | Where | Buy |
|---|---|---|---|---|
| GPU | NVIDIA GeForce RTX 3090 24 GB · 936 GB/s · 350 W | £1,330 | Amazon | Buy |
| GPU 2 | NVIDIA GeForce RTX 3090 24 GB · 936 GB/s · 350 W | £1,330 | Amazon | Buy |
| CPU | AMD Ryzen 9 9900X AM5 · 12 cores · 24 PCIe lanes | £309 | eBay | Buy |
| Motherboard | ASUS ProArt X870E-Creator WiFi AM5 · DDR5 · ATX | £450 | Amazon | Buy |
| Memory | Corsair Vengeance 128GB (4×32GB) DDR5-5200 128 GB · DDR5-5200 | Not sold now | – | |
| Power supply | Seasonic Vertex GX-1200 1200W 1200 W · ATX 3 | £136 | eBay (used) | Buy |
| Case | Fractal Design Torrent GPUs up to 461 mm | £183 | eBay | Buy |
| Storage | Samsung 990 Pro 2TB 2000 GB NVME | £250 | eBay | Buy |
| Total + 1 without a price | £3,988 | |||
- Note: Check the power connectors on the card you buy: this power supply has 1 12V-2x6 and 3 8-pin PCIe connectors.
- Note: The second x16 slot is 3 slots below the first: choose cards no thicker than 3 slots, or the top card covers it.
- Note: Fractal Design Torrent fits graphics cards up to 461 mm: check the length of the card you buy.
What this build runs
The most precise quant that fits, at 32k context. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @32k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 30.5 GB | 256k | 19tok/sest. | 515 tok/s | chat, long documents |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | fits | 41.1 GB | 224k256k with q8 cache | 81tok/sest. | 1208 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 30.1 GB | 256k | 19tok/sest. | 515 tok/s | chat, long documents |
| Gemma 4 31B | Q8_0 | fits | 35.0 GB | 172k256k with q8 cache | 16tok/sest. | 459 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | fits | 39.4 GB | 296k471k with q8 cache | 111tok/sest. | 1343 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 36.3 GB | 256k | 91tok/sest. | 3679 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 30.1 GB | 256k | 19tok/sest. | 515 tok/s | chat, long documents |
| Gemma 4 26B-A4B | Q8_0 | fits | 27.1 GB | 256k | 69tok/sest. | 3273 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 36.3 GB | 256k | 91tok/sest. | 3679 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 32.6 GB | 198k | 49tok/sest. | 1921 tok/s | chat, coding, agents, long documents |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 29.6 GB | 137k251k with q8 cache | 19tok/sest. | 544 tok/s | chat |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 34.1 GB | 256k | 97tok/sest. | 4198 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q6_K | fits | 39.3 GB | 588k802k with q8 cache | 125tok/sest. | 3171 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 13.3 GB | 128k | 108tok/sest. | 2747 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 34.5 GB | 155k256k with q8 cache | 54tok/sest. | 1692 tok/s | chat, coding, agents, long documents |
| Qwen3 32B Alibaba Qwen | Q8_0 | fits | 41.7 GB | 40k | 13tok/sest. | 320 tok/s | chat |
| Gemma 4 12B | Q8_0 | fits | 13.9 GB | 256k | 43tok/sest. | 1195 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 11.2 GB | 256k | 55tok/sest. | 1489 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 29.6 GB | 128k | 19tok/sest. | 544 tok/s | chat |
| Gemma 3 27B | Q8_0 | fits | 30.9 GB | 128k | 18tok/sest. | 547 tok/s | chat |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q8_0 | fits | 41.7 GB | 51k95k with q8 cache | 13tok/sest. | 367 tok/s | chat |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 19.7 GB | 199k256k with q8 cache | 29tok/sest. | 827 tok/s | chat, coding, long documents |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 20.9 GB | 40k | 28tok/sest. | 744 tok/s | chat, coding, long documents |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 13.9 GB | 128k | 43tok/sest. | 1227 tok/s | chat, coding, long documents |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 13.9 GB | 40k | 43tok/sest. | 1227 tok/s | chat, coding, long documents |
| Phi-4 14B Microsoft | Q8_0 | fits | 22.0 GB | 16k | 26tok/sest. | 748 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 6.5 GB | 256k | 104tok/sest. | 2786 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 13.9 GB | 256k | 43tok/sest. | 1185 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 15.0 GB | 128k | 39tok/sest. | 1128 tok/s | chat, coding, agents, long documents |
| Gemma 4 E4B | Q8_0 | fits | 9.8 GB | 128k | 63tok/sest. | 1871 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 11.2 GB | 125k | 130tok/sest. | 6119 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 11.4 GB | 128k | 53tok/sest. | 1296 tok/s | chat, coding, long documents |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 2.2 GB | 32k | 622tok/sest. | 13327 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 2.4 GB | 256k | 471tok/sest. | 12519 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 3.0 GB | 256k | 313tok/sest. | 5968 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 3.9 GB | 128k | 205tok/sest. | 5014 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 5.1 GB | 128k | 142tok/sest. | 2994 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 5.8 GB | 128k | 119tok/sest. | 3391 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 5.8 GB | 32k | 119tok/sest. | 3110 tok/s | chat, coding, agents, long documents |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q8_0 | fits | 13.8 GB | 128k | 110tok/sest. | 4418 tok/s | chat, coding, agents, long documents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 7.2 GB | 128k | 92tok/sest. | 2173 tok/s | chat, coding, long documents |
| granite 4.2 3b IBM | Q8_0 | fits | 7.4 GB | 128k | 88tok/sest. | 2277 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Moonshot AI | mlx-8bit | fits | 18.8 GB | 128k | 81tok/sest. | 3320 tok/s | chat, coding, agents, long documents |
| LFM2.5 24B A2B Liquid AI | Q8_0 | fits | 27.5 GB | 128k | 72tok/sest. | 3410 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q8_0 | fits | 10.6 GB | 128k | 58tok/sest. | 1465 tok/s | chat, coding, long documents |
| GLM 4.6V Flash Z.ai | Q8_0 | fits | 11.9 GB | 128k | 51tok/sest. | 1020 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q8_0 | fits | 13.2 GB | 128k | 45tok/sest. | 1296 tok/s | chat, coding, long documents |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | fits | 13.5 GB | 64k | 44tok/sest. | 1020 tok/s | chat, coding, long documents |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q8_0 | fits | 13.9 GB | 256k | 43tok/sest. | 1185 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q8_0 | fits | 21.9 GB | 128k | 26tok/sest. | 700 tok/s | chat, coding |
| Devstral Small 2507 Mistral AI | Q8_0 | fits | 29.6 GB | 128k | 19tok/sest. | 552 tok/s | chat |
| Magistral Small 2506 Mistral AI | Q8_0 | fits | 29.6 GB | 40k | 19tok/sest. | 552 tok/s | chat |
| Magistral Small 2507 Mistral AI | Q8_0 | fits | 29.6 GB | 40k | 19tok/sest. | 552 tok/s | chat |
| Magistral Small 2509 Mistral AI | Q8_0 | fits | 29.6 GB | 128k | 19tok/sest. | 544 tok/s | chat |
| granite 4.2 30b IBM | Q8_0 | fits | 38.3 GB | 65k120k with q8 cache | 15tok/sest. | 422 tok/s | chat |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | offload | 94.2 GB | – | 6tok/sest. | 167 tok/s | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | offload | 103.0 GB | – | 6tok/sest. | 216 tok/s | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | offload | 75.6 GB | – | 2tok/sest. | 192 tok/s | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | offload | 79.2 GB | – | 5tok/sest. | 510 tok/s | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 47.3 GB | 14k23k with q8 cache | 96tok/sest. | 2893 tok/s | chat, coding, agents, long documents |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 52.6 GB | – | 28tok/sest. | 1139 tok/s | chat, coding, long documents |
| gpt-oss 120B OpenAI | Q4_K_M | offload | 60.9 GB | – | 23tok/sest. | 1675 tok/s | chat, coding |
| GLM 4.5 Air Z.ai | Q2_K | offload | 49.2 GB | 18k34k with q8 cache | 17tok/sest. | 436 tok/s | chat |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 47.3 GB | 15k24k with q8 cache | 117tok/sest. | 3443 tok/s | chat, coding, agents, long documents |
| Llama 3.3 70B Meta | Q4_K_M | offload | 50.9 GB | 19k35k with q8 cache | 6tok/sest. | 165 tok/s | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | offload | 50.9 GB | 19k35k with q8 cache | 6tok/sest. | 165 tok/s | – |
| GLM 4.5V Z.ai | Q4_K_M | offload | 66.3 GB | – | 6tok/sest. | 399 tok/s | – |
| GLM 4.6V Z.ai | Q4_K_M | offload | 72.6 GB | – | 5tok/sest. | 381 tok/s | – |
| MiniMax M2.5 MiniMax | MXFP4 | offload | 124.3 GB | – | 3tok/sest. | 422 tok/s | – |
| MiniMax M2 MiniMax | Q4_K_M | offload | 137.9 GB | – | 3tok/sest. | 408 tok/s | – |
| MiniMax M2.1 MiniMax | Q4_K_M | offload | 137.9 GB | – | 3tok/sest. | 408 tok/s | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | offload | 149.6 GB | – | 2tok/sest. | 117 tok/s | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | offload | 158.4 GB | – | 2tok/sest. | 114 tok/s | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | offload | 82.0 GB | – | 1tok/sest. | 72 tok/s | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q8_0 | offload | 136.0 GB | – | 1tok/sest. | 60 tok/s | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 380.1 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 380.6 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 380.1 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 381.0 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 381.0 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 214.4 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 424.0 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 437.9 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 750.4 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 581.6 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 582.0 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 582.0 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 582.0 GB | – | – | – | – |
| MiniMax M3 MiniMax | UD-Q4_K_M | won't run | 251.8 GB | – | – | – | – |