NVIDIA RTX PRO 5000 Blackwell 48GB
48 GB · 1,344 GB/s · 300 W
In short
The NVIDIA RTX PRO 5000 Blackwell 48GB has 48 GB of GDDR7 memory with 1,344 GB/s of bandwidth, which sets how fast it generates text. At 8k context it runs 68 of the 125 open models we track fully in memory; the most capable is Qwen 3.8 27B at Q8_0, at about 28 tok/s (estimated). We have no current price for the NVIDIA RTX PRO 5000 Blackwell 48GB in the UK.
Updated . Speeds are estimates; how they are worked out.
Prices
Every retailer we track in the UK, cheapest first. Buy links may earn us a commission.
No retailer in this market lists it right now.
What it runs
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @8k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 28.4 GB | 256k | 28tok/sest. | 580 tok/s | chat, coding, long documents |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | fits | 40.0 GB | 256k | 135tok/sest. | 1535 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 28.0 GB | 256k | 29tok/sest. | 580 tok/s | chat, coding, long documents |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | fits | 46.2 GB | 48k78k with q8 cache | 190tok/sest. | 3876 tok/s | chat, coding, agents, long documents |
| Gemma 4 31B | Q8_0 | fits | 32.5 GB | 184k256k with q8 cache | 24tok/sest. | 506 tok/s | chat, coding, long documents |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | fits | 38.4 GB | 332k528k with q8 cache | 195tok/sest. | 2005 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 35.3 GB | 256k | 151tok/sest. | 4971 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 28.0 GB | 256k | 29tok/sest. | 580 tok/s | chat, coding, long documents |
| Gemma 4 26B-A4B | Q8_0 | fits | 26.1 GB | 256k | 110tok/sest. | 3788 tok/s | chat, coding, agents, long documents |
| GLM 4.5 Air Z.ai | Q2_K | fits | 44.4 GB | 24k44k with q8 cache | 69tok/sest. | 915 tok/s | chat, coding |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | fits | 46.2 GB | 49k79k with q8 cache | 242tok/sest. | 4873 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 35.3 GB | 256k | 151tok/sest. | 4971 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 30.8 GB | 198k | 87tok/sest. | 2782 tok/s | chat, coding, agents, long documents |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 25.3 GB | 144k262k with q8 cache | 32tok/sest. | 654 tok/s | chat, coding, long documents |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 33.4 GB | 256k | 146tok/sest. | 5179 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q6_K | fits | 38.5 GB | 662k902k with q8 cache | 194tok/sest. | 4724 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 12.2 GB | 128k | 190tok/sest. | 3598 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 31.7 GB | 165k256k with q8 cache | 125tok/sest. | 3596 tok/s | chat, coding, agents, long documents |
| Qwen3 32B Alibaba Qwen | Q8_0 | fits | 35.2 GB | 40k | 23tok/sest. | 447 tok/s | chat |
| Gemma 4 12B | Q8_0 | fits | 13.0 GB | 256k | 63tok/sest. | 1320 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 9.9 GB | 256k | 85tok/sest. | 1671 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 25.3 GB | 128k | 32tok/sest. | 654 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q8_0 | fits | 28.5 GB | 128k | 28tok/sest. | 588 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q8_0 | fits | 35.2 GB | 55k102k with q8 cache | 23tok/sest. | 468 tok/s | chat |
| Llama 3.3 70B Meta | Q4_K_M | fits | 42.8 GB | 22k41k with q8 cache | 18tok/sest. | 218 tok/s | chat |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 15.4 GB | 205k256k with q8 cache | 53tok/sest. | 1085 tok/s | chat, coding, long documents |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 16.6 GB | 40k | 49tok/sest. | 1008 tok/s | chat, coding, long documents |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 10.0 GB | 128k | 84tok/sest. | 1764 tok/s | chat, coding, long documents |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 10.0 GB | 40k | 84tok/sest. | 1764 tok/s | chat, coding, long documents |
| Phi-4 14B Microsoft | Q8_0 | fits | 16.8 GB | 16k | 48tok/sest. | 1015 tok/s | chat, coding, long documents |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.2 GB | 256k | 174tok/sest. | 3364 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 10.2 GB | 256k | 82tok/sest. | 1648 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 10.7 GB | 128k | 78tok/sest. | 1636 tok/s | chat, coding, agents, long documents |
| Gemma 4 E4B | Q8_0 | fits | 8.6 GB | 128k | 98tok/sest. | 2025 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 9.5 GB | 125k | 341tok/sest. | 11821 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 7.9 GB | 128k | 109tok/sest. | 1821 tok/s | chat, coding, long documents |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 1.3 GB | 32k | 1319tok/sest. | 24740 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 1.6 GB | 256k | 895tok/sest. | 17021 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 2.2 GB | 256k | 536tok/sest. | 6982 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 2.7 GB | 128k | 391tok/sest. | 7786 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 3.6 GB | 128k | 275tok/sest. | 5147 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 3.9 GB | 128k | 247tok/sest. | 5181 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 3.9 GB | 32k | 247tok/sest. | 4572 tok/s | chat, coding, agents, long documents |
| Spark X2.5 4B XHToken | mlx-4bit | fits | 3.9 GB | 1024k | 245tok/sest. | 3662 tok/s | chat, coding, agents, long documents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 4.7 GB | 128k | 194tok/sest. | 3429 tok/s | chat, coding, long documents |
| Ministral 3 3B Instruct 2512 Mistral AI | Q8_0 | fits | 5.0 GB | 256k | 184tok/sest. | 3512 tok/s | chat, coding, agents, long documents |
| granite 4.2 3b IBM | Q8_0 | fits | 5.0 GB | 128k | 183tok/sest. | 3686 tok/s | chat, coding, agents, long documents |
| LFM2.5 24B A2B Liquid AI | Q8_0 | fits | 25.1 GB | 128k | 179tok/sest. | 6207 tok/s | chat, coding, agents, long documents |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q8_0 | fits | 12.9 GB | 128k | 177tok/sest. | 5696 tok/s | chat, coding, agents, long documents |
| FrogNano 4B 2609 Microsoft | Q8_0 | fits | 5.3 GB | 256k | 169tok/sest. | 3364 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Thinking 2506 Moonshot AI | Q8_0 | fits | 16.8 GB | 128k | 149tok/sest. | 4802 tok/s | chat, coding, long documents |
| Kimi VL A3B Moonshot AI | mlx-8bit | fits | 17.6 GB | 128k | 142tok/sest. | 4802 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q8_0 | fits | 8.7 GB | 128k | 97tok/sest. | 1965 tok/s | chat, coding, long documents |
| GLM 4 9B 0414 Z.ai | mlx-5bit | fits | 8.7 GB | 32k | 97tok/sest. | 1543 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q8_0 | fits | 9.7 GB | 128k | 87tok/sest. | 1821 tok/s | chat, coding, long documents |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q8_0 | fits | 10.2 GB | 256k | 82tok/sest. | 1648 tok/s | chat, coding, agents, long documents |
| GLM 4.6V Flash Z.ai | Q8_0 | fits | 10.4 GB | 128k | 81tok/sest. | 1425 tok/s | chat, coding, agents, long documents |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | fits | 12.0 GB | 64k | 69tok/sest. | 1425 tok/s | chat, coding, long documents |
| Ministral 3 14B Reasoning 2512 Mistral AI | Q8_0 | fits | 15.4 GB | 205k256k with q8 cache | 53tok/sest. | 1085 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q8_0 | fits | 16.9 GB | 128k | 48tok/sest. | 988 tok/s | chat, coding, long documents |
| Qwen3.8 27B OBLITERATED OBLITERATUS | mlx-4bit | fits | 20.6 GB | 256k | 39tok/sest. | 580 tok/s | chat, coding, agents, long documents |
| Devstral Small 2507 Mistral AI | Q8_0 | fits | 25.3 GB | 128k | 32tok/sest. | 666 tok/s | chat, coding, long documents |
| Magistral Small 2506 Mistral AI | Q8_0 | fits | 25.3 GB | 40k | 32tok/sest. | 666 tok/s | chat, coding, long documents |
| Magistral Small 2507 Mistral AI | Q8_0 | fits | 25.3 GB | 40k | 32tok/sest. | 666 tok/s | chat, coding, long documents |
| Magistral Small 2509 Mistral AI | Q8_0 | fits | 25.3 GB | 128k | 32tok/sest. | 654 tok/s | chat, coding, long documents |
| Muse Glimmer 30B meta-models | Q8_0 | fits | 31.0 GB | 128k | 26tok/sest. | 537 tok/s | chat, coding, long documents |
| granite 4.2 30b IBM | Q8_0 | fits | 31.7 GB | 69k127k with q8 cache | 25tok/sest. | 528 tok/s | chat, coding |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | fits | 42.8 GB | 22k41k with q8 cache | 18tok/sest. | 218 tok/s | chat |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | offload | 72.8 GB | – | 14tok/sest. | 924 tok/s | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 51.9 GB | – | 40tok/sest. | 1281 tok/s | chat, coding, agents, long documents |
| gpt-oss 120B OpenAI | Q4_K_M | offload | 59.5 GB | – | 37tok/sest. | 2280 tok/s | chat, coding |
| GLM 4.5V Z.ai | Q4_K_M | offload | 61.4 GB | – | 12tok/sest. | 755 tok/s | – |
| GLM 4.6V Z.ai | Q4_K_M | offload | 67.8 GB | – | 9tok/sest. | 717 tok/s | – |
| Kimi Dev 72B Moonshot AI | Q6_K | offload | 63.2 GB | – | 3tok/sest. | 180 tok/s | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q4_K_M | offload | 73.3 GB | – | 2tok/sest. | 97 tok/s | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | offload | 73.3 GB | – | 2tok/sest. | 95 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 91.6 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.2 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 74.5 GB | – | – | – | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 377.9 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 378.4 GB | – | – | – | – |
| DeepSeek R1 Zero DeepSeek | Q4_K_M | won't run | 377.9 GB | – | – | – | – |
| DeepSeek V3 DeepSeek | Q4_K_M | won't run | 377.9 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 377.9 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 378.8 GB | – | – | – | – |
| DeepSeek V3.1 Terminus DeepSeek | Q4_K_M | won't run | 378.8 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 378.8 GB | – | – | – | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | won't run | 147.1 GB | – | – | – | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | won't run | 155.8 GB | – | – | – | – |
| GLM 4.5 Z.ai | Q4_K_M | won't run | 205.2 GB | – | – | – | – |
| GLM 4.6 Z.ai | Q4_K_M | won't run | 204.4 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 205.2 GB | – | – | – | – |
| GLM 5 Z.ai | MXFP4 | won't run | 383.8 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 421.4 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 435.3 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 747.8 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 579.4 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 579.9 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 579.9 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 579.9 GB | – | – | – | – |
| MiniMax M2 MiniMax | Q4_K_M | won't run | 131.5 GB | – | – | – | – |
| MiniMax M2.1 MiniMax | Q4_K_M | won't run | 131.5 GB | – | – | – | – |
| MiniMax M2.5 MiniMax | MXFP4 | won't run | 118.0 GB | – | – | – | – |
| MiniMax M3 MiniMax | MXFP4 | won't run | 241.4 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- RTX PRO 5000 Blackwell 48GB
- Memory
- 48 GB GDDR7
- Memory bus
- 384-bit
- Memory bandwidth
- 1,344 GB/s
- FP16 compute
- 73.69 TFLOPS
- Software
- CUDA
- Board power
- 300 W
- PCIe generation
- Gen 5
- PCIe lanes
- x16
Compare with
Questions
- How much memory does the NVIDIA RTX PRO 5000 Blackwell 48GB have for AI models?
- The NVIDIA RTX PRO 5000 Blackwell 48GB has 48 GB of GDDR7 memory with 1,344 GB/s of bandwidth, which sets how fast it generates text.
- What is the best model the NVIDIA RTX PRO 5000 Blackwell 48GB can run locally?
- Qwen 3.8 27B (Q8_0) fits fully in its memory at 8k context and generates at about 28 tok/s, an estimate from its memory bandwidth. 68 of the 125 models we track fit at that context.
- Can the NVIDIA RTX PRO 5000 Blackwell 48GB run DeepSeek V4 Flash?
- No: even at UD-Q2_K_XL, DeepSeek V4 Flash needs about 92 GB at 8k context, more than the NVIDIA RTX PRO 5000 Blackwell 48GB and system RAM can hold.
- How much does the NVIDIA RTX PRO 5000 Blackwell 48GB cost in the UK?
- We have no current price for the NVIDIA RTX PRO 5000 Blackwell 48GB in the UK.
Speeds on this page are for 8k context. See the best hardware for local AI at every budget.