Direct performance comparison between the RTX 4090 Pro and RTX Pro 6000 Blackwell across 23 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 4090 Pro winning 2 out of 23 benchmarks (9% win rate), while the RTX Pro 6000 Blackwell wins 21 tests. All 23 benchmark results are automatically gathered from active rental servers, providing real-world performance data rather than synthetic testing.
In language model inference testing across 11 different models, the RTX 4090 Pro is 19% slower than the RTX Pro 6000 Blackwell on average. For deepseek-r1:70b inference, the RTX 4090 Pro reaches 22 tokens/s while the RTX Pro 6000 Blackwell achieves 32 tokens/s, making the RTX 4090 Pro significantly slower with a 32% deficit. Overall, the RTX 4090 Pro wins 2 out of 11 LLM tests with an average 22% performance difference, making the RTX Pro 6000 Blackwell the better option for LLM inference tasks.
Evaluating AI image generation across 12 different Stable Diffusion models, the RTX 4090 Pro is 29% slower than the RTX Pro 6000 Blackwell in this category. When testing sd3.5-large, the RTX 4090 Pro completes generations at 16 s/image while the RTX Pro 6000 Blackwell achieves 8.4 s/image, making the RTX 4090 Pro substantially slower with a 46% deficit. Across all 12 image generation benchmarks, the RTX 4090 Pro wins 0 tests with an average 29% performance difference, making the RTX Pro 6000 Blackwell the better choice for Stable Diffusion, SDXL, and Flux workloads.
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Our benchmarks are collected automatically from servers having gpus of type RTX 4090 Pro and RTX Pro 6000 Blackwell in our fleet using standardized test suites:
Note: RTX 4090 Pro and RTX Pro 6000 Blackwell AI Benchmark Results may vary based on system load, configuration, and specific hardware revisions. These benchmarks represent median values from multiple test runs of RTX 4090 Pro and RTX Pro 6000 Blackwell.
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