NVIDIA RTX PRO 6000 Blackwell
96 GB · 1,792 GB/s · 600 W
Prices
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What two of them run
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @32k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| DeepSeek V4 Flash DeepSeek | UD-Q4_K_XL | fits | 148.4 GB | 503k896k with q8 cache | 48tok/sest. | 1703 tok/s | chat, coding, agents, long documents |
| GLM 5.3 Flash Z.ai | UD-Q4_K_XL | fits | 187.8 GB | 215k309k with q8 cache | 41tok/sest. | 2289 tok/s | chat, coding, agents, long documents |
| Qwen 3.8 Flash Next Alibaba Qwen | Q8_0 | fits | 177.4 GB | 256k | 10tok/sest. | 1772 tok/s | – |
| MiniMax M2.7 MiniMax | UD-Q6_K | fits | 184.2 GB | 58k108k with q8 cache | 38tok/sest. | 4823 tok/s | chat, coding, agents |
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 30.5 GB | 256k | 35tok/sest. | 3658 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 122B-A10B Alibaba Qwen | Q8_0 | fits | 123.1 GB | 256k | 59tok/sest. | 8577 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 30.1 GB | 256k | 36tok/sest. | 3658 tok/s | chat, coding, agents, long documents |
| gpt-oss 120B OpenAI | MXFP4 | fits | 61.5 GB | 128k | 154tok/sest. | 13854 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder Next Alibaba Qwen | Q8_0 | fits | 81.1 GB | 256k | 133tok/sest. | 20673 tok/s | chat, coding, agents, long documents |
| Nemotron 3 Super 120B-A12B NVIDIA | Q8_0 | fits | 121.3 GB | 256k | 52tok/sest. | 8674 tok/s | chat, coding, agents, long documents |
| Gemma 4 31B | Q8_0 | fits | 35.0 GB | 256k | 31tok/sest. | 3259 tok/s | chat, coding, agents, long documents |
| Mistral Small 4 119B Mistral AI | Q8_0 | fits | 119.8 GB | 1024k | 81tok/sest. | 9535 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 36.3 GB | 256k | 175tok/sest. | 26116 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 30.1 GB | 256k | 36tok/sest. | 3658 tok/s | chat, coding, agents, long documents |
| Gemma 4 26B-A4B | Q8_0 | fits | 27.1 GB | 256k | 132tok/sest. | 23234 tok/s | chat, coding, agents, long documents |
| GLM 4.5 Air Z.ai | Q8_0 | fits | 116.4 GB | 128k | 27tok/sest. | 3189 tok/s | chat, coding, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 36.3 GB | 256k | 175tok/sest. | 26116 tok/s | chat, coding, agents, long documents |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q8_0 | fits | 81.1 GB | 256k | 166tok/sest. | 24595 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 32.6 GB | 198k | 95tok/sest. | 13635 tok/s | chat, coding, agents, long documents |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 29.6 GB | 384k | 37tok/sest. | 3860 tok/s | chat, coding, agents, long documents |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 34.1 GB | 256k | 187tok/sest. | 29801 tok/s | chat, coding, agents, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 13.3 GB | 128k | 206tok/sest. | 19497 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q8_0 | fits | 50.2 GB | 1024k | 191tok/sest. | 22507 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 34.5 GB | 256k | 104tok/sest. | 12010 tok/s | chat, coding, agents, long documents |
| Qwen3 32B Alibaba Qwen | Q8_0 | fits | 41.7 GB | 40k | 26tok/sest. | 2271 tok/s | chat, coding, long documents |
| Gemma 4 12B | Q8_0 | fits | 13.9 GB | 256k | 82tok/sest. | 8482 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 11.2 GB | 256k | 104tok/sest. | 10572 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 29.6 GB | 128k | 37tok/sest. | 3860 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q8_0 | fits | 30.9 GB | 128k | 35tok/sest. | 3882 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q8_0 | fits | 41.7 GB | 128k | 26tok/sest. | 2607 tok/s | chat, coding, long documents |
| Llama 3.3 70B Meta | Q8_0 | fits | 81.1 GB | 128k | 13tok/sest. | 1232 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 19.7 GB | 256k | 56tok/sest. | 5872 tok/s | chat, coding, long documents |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 20.9 GB | 40k | 53tok/sest. | 5280 tok/s | chat, coding, long documents |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 13.9 GB | 128k | 82tok/sest. | 8708 tok/s | chat, coding, long documents |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 13.9 GB | 40k | 82tok/sest. | 8708 tok/s | chat, coding, long documents |
| Phi-4 14B Microsoft | Q8_0 | fits | 22.0 GB | 16k | 50tok/sest. | 5306 tok/s | chat, coding, long documents |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 6.5 GB | 256k | 198tok/sest. | 19778 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 13.9 GB | 256k | 82tok/sest. | 8412 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 15.0 GB | 128k | 76tok/sest. | 8008 tok/s | chat, coding, agents, long documents |
| Gemma 4 E4B | Q8_0 | fits | 9.8 GB | 128k | 121tok/sest. | 13280 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 11.2 GB | 125k | 249tok/sest. | 43438 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 11.4 GB | 128k | 102tok/sest. | 9201 tok/s | chat, coding, long documents |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- RTX PRO 6000 Blackwell
- Memory
- 96 GB GDDR7
- Memory bus
- 512-bit
- Memory bandwidth
- 1,792 GB/s
- FP16 compute
- 504 TFLOPS
- Software
- CUDA
- Board power
- 600 W
- PCIe generation
- Gen 5
- PCIe lanes
- x16