RTX Pro 6000 Blackwell vs RTX 5090 - GPU Benchmark Comparison

Direct performance comparison between the RTX Pro 6000 Blackwell and RTX 5090 across 21 standardized AI benchmarks collected from our production fleet. Testing shows the RTX Pro 6000 Blackwell winning 9 out of 21 benchmarks (43% win rate), while the RTX 5090 wins 12 tests. All 21 benchmark results are automatically gathered from active rental servers, providing real-world performance data rather than synthetic testing.

LLM Inference Performance: RTX Pro 6000 Blackwell roughly equal performance

In language model inference testing across 9 different models, the RTX Pro 6000 Blackwell performs nearly identically to the RTX 5090, with less than 10% average difference. For qwen3-coder:30b inference, the RTX Pro 6000 Blackwell reaches 157 tokens/s while the RTX 5090 achieves 186 tokens/s, making the RTX Pro 6000 Blackwell noticeably slower with a 15% deficit. Overall, the RTX Pro 6000 Blackwell wins 1 out of 9 LLM tests with an average 14% performance difference, making the RTX 5090 the better option for LLM inference tasks.

Image Generation Performance: RTX Pro 6000 Blackwell 174% faster

Evaluating AI image generation across 12 different Stable Diffusion models, the RTX Pro 6000 Blackwell is 174% faster than the RTX 5090 in this category. When testing sd3.5-large, the RTX Pro 6000 Blackwell completes generations at 8.4 s/image compared to RTX 5090's 12 s/image, making the RTX Pro 6000 Blackwell significantly faster with a 38% advantage. Across all 12 image generation benchmarks, the RTX Pro 6000 Blackwell wins 8 tests with an average 174% performance difference, establishing it as the preferred GPU for Stable Diffusion, SDXL, and Flux deployments.

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