RTX Pro 6000 VPS GPU Hosting Pricing
Choose an RTX Pro 6000 VPS for High-Memory GPU Workloads
Use the 96GB GPU VPS configuration when model memory, context length, inference concurrency, or graphics complexity exceed lower-VRAM options.
96GB GPU VPS for LLMs
A 96GB GPU VPS supports larger LLM inference, fine-tuning, long-context workloads, RAG applications, and higher-concurrency model serving.
RTX Pro 6000 VPS for AI Development
An RTX Pro 6000 VPS provides dedicated GPU resources for AI experimentation, agent development, model evaluation, and production inference environments.
RTX Pro 6000 for Rendering
NVIDIA RTX Pro 6000 supports GPU-accelerated rendering, visualization, video pipelines, and graphics workloads that benefit from high memory capacity and Blackwell performance.
RTX Pro 6000 Benchmark Results for LLM Inference
Pro 6000 GPU Benchmark with Ollama 0.13.5
| Models | gpt-oss | gpt-oss | deepseek-r1 | deepseek-r1 | gemma3 | llama3.3 | qwen3 | qwen2.5 |
|---|---|---|---|---|---|---|---|---|
| Parameters | 20b | 120b | 32b | 70b | 27b | 70b | 32b | 72b |
| Size (GB) | 14 | 65 | 20 | 43 | 17 | 43 | 20 | 47 |
| GPU UTL | 65% | 60% | 87% | 94% | 83% | 94% | 90% | 93% |
| GPU Memory | 33% | 77% | 98% | 41% | 18% | 41% | 20% | 45% |
| Eval Rate (tokens/s) | 185.09 | 134.28 | 64.31 | 32.04 | 61.49 | 31.96 | 55.96 | 29.15 |
Note: The models are all from the Ollama library. For more testing data, please visit: https://www.databasemart.com/blog/ollama-gpu-benchmark-pro6000
Pro 6000 GPU Benchmark with vLLM
| Models | Llama-3.1-8B | gemma-3-12b-it | gpt-oss-20b | gpt-oss-120b | DeepSeek-R1-Distill-Llama-8B | DeepSeek-R1-Distill-Qwen-14B | DeepSeek-R1-Distill-Qwen-32B | Qwen3-8B | Qwen3-14B | Qwen3-VL-32B-Instruct |
|---|---|---|---|---|---|---|---|---|---|---|
| Quantization | BF16 | BF16 | MXFP4 | MXFP4 | BF16 | BF16 | BF16 | BF16 | BF16 | BF16 |
| Size(GB) | 15GB | 23GB | 13GB | 61GB | 15GB | 28GB | 62GB | 15GB | 28GB | 63GB |
| Request Numbers | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 |
| Benchmark Duration(s) | 10.93 | 19.23 | 7.99 | 19.68 | 10.89 | 18.66 | 36.19 | 11.29 | 17.20 | 37.67 |
| Request (req/s) | 4.57 | 2.60 | 6.25 | 2.54 | 4.59 | 2.68 | 1.38 | 4.43 | 2.91 | 1.33 |
| Input (tokens/s) | 452.7 | 257.4 | 625.49 | 254.11 | 454.63 | 265.33 | 136.78 | 443.01 | 290.62 | 132.95 |
| Output (tokens/s) | 2743.63 | 1560.03 | 3752.90 | 1524.66 | 2755.33 | 1608.06 | 829.02 | 2658.02 | 1743.76 | 796.45 |
| Total Throughput (tokens/s) | 3196.33 | 1817.43 | 4378.39 | 1778.77 | 3209.96 | 1873.39 | 965.80 | 3101.03 | 2034.38 | 929.20 |
Note: The models are all from the Hugging Face library. For more testing data, please visit: https://www.databasemart.com/blog/vllm-gpu-benchmark-pro6000
Ready to deploy RTX PRO 6000 VPS?
Order RTX PRO 6000 VPSSpecifications of Nvidia RTX Pro 6000
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RTX A6000 Hosting
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