NVIDIA RTX PRO 6000 Blackwell
96 GB · 1,792 GB/s · 600 W
Prices
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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 @64k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q3_K_XL | fits | 86.5 GB | 256k | 21tok/sest. | 1708 tok/s | chat, coding, long documents |
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 32.3 GB | 256k | 33tok/sest. | 3314 tok/s | chat, coding, agents, long documents |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | fits | 86.7 GB | 99k182k with q8 cache | 33tok/sest. | 3150 tok/s | chat, coding, agents |
| Qwen 3.5 122B-A10B Alibaba Qwen | Q5_K_M | fits | 87.9 GB | 256k | 73tok/sest. | 6897 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 31.8 GB | 256k | 34tok/sest. | 3314 tok/s | chat, coding, agents, long documents |
| gpt-oss 120B OpenAI | MXFP4 | fits | 62.4 GB | 128k | 120tok/sest. | 10697 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder Next Alibaba Qwen | Q8_0 | fits | 81.6 GB | 256k | 115tok/sest. | 15981 tok/s | chat, coding, agents, long documents |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q4_K_M | fits | 78.6 GB | 256k | 77tok/sest. | 8016 tok/s | chat, coding, agents, long documents |
| Gemma 4 31B | Q8_0 | fits | 37.3 GB | 256k | 29tok/sest. | 3026 tok/s | chat, coding, agents, long documents |
| Mistral Small 4 119B Mistral AI | UD-Q6_K | fits | 95.1 GB | 75k119k with q8 cache | 90tok/sest. | 6780 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 36.8 GB | 256k | 149tok/sest. | 19950 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 31.8 GB | 256k | 34tok/sest. | 3314 tok/s | chat, coding, agents, long documents |
| Gemma 4 26B-A4B | Q8_0 | fits | 27.5 GB | 256k | 117tok/sest. | 20426 tok/s | chat, coding, agents, long documents |
| GLM 4.5 Air Z.ai | Q5_K_M | fits | 90.4 GB | 91k128k with q8 cache | 26tok/sest. | 2097 tok/s | chat, coding, agents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 36.8 GB | 256k | 149tok/sest. | 19950 tok/s | chat, coding, agents, long documents |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q8_0 | fits | 81.6 GB | 256k | 139tok/sest. | 18228 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 34.0 GB | 198k | 76tok/sest. | 9897 tok/s | chat, coding, agents, long documents |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 34.4 GB | 384k | 31tok/sest. | 3263 tok/s | chat, coding, agents, long documents |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 34.1 GB | 256k | 177tok/sest. | 24595 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q8_0 | fits | 50.3 GB | 1024k | 177tok/sest. | 16024 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 13.9 GB | 128k | 165tok/sest. | 15269 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 37.3 GB | 256k | 69tok/sest. | 7139 tok/s | chat, coding, agents, long documents |
| Qwen3 32B Alibaba Qwen | Q8_0 | fits | 49.5 GB | 40k | 21tok/sest. | 1690 tok/s | chat, coding, long documents |
| Gemma 4 12B | Q8_0 | fits | 14.2 GB | 256k | 79tok/sest. | 7852 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 12.0 GB | 256k | 95tok/sest. | 9610 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q8_0 | fits | 33.2 GB | 128k | 32tok/sest. | 3712 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 34.4 GB | 128k | 31tok/sest. | 3263 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q8_0 | fits | 49.5 GB | 128k | 21tok/sest. | 2091 tok/s | chat, coding, long documents |
| Llama 3.3 70B Meta | Q8_0 | fits | 90.9 GB | 78k128k with q8 cache | 12tok/sest. | 999 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 24.4 GB | 256k | 44tok/sest. | 4594 tok/s | chat, coding, long documents |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 25.7 GB | 40k | 42tok/sest. | 4023 tok/s | chat, coding, long documents |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 18.2 GB | 128k | 61tok/sest. | 6351 tok/s | chat, coding, long documents |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 18.2 GB | 40k | 61tok/sest. | 6351 tok/s | chat, coding, long documents |
| Phi-4 14B Microsoft | Q8_0 | fits | 28.1 GB | 16k | 38tok/sest. | 4038 tok/s | chat, coding, long documents |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 7.3 GB | 256k | 166tok/sest. | 16659 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 18.0 GB | 256k | 61tok/sest. | 6284 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 19.8 GB | 128k | 55tok/sest. | 5807 tok/s | chat, coding, agents, long documents |
| Gemma 4 E4B | Q8_0 | fits | 10.5 GB | 128k | 110tok/sest. | 12587 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 12.5 GB | 125k | 156tok/sest. | 26864 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 15.2 GB | 128k | 73tok/sest. | 6823 tok/s | chat, coding, long documents |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | offload | 96.6 GB | 50k89k with q8 cache | 42tok/sest. | 998 tok/s | chat, coding, agents, long documents |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | offload | 103.1 GB | – | 28tok/sest. | 1469 tok/s | chat, coding, agents, 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