Direct performance comparison between the RTX 3090 and RTX Pro 6000 Blackwell across 20 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 3090 winning 0 out of 20 benchmarks (0% win rate), while the RTX Pro 6000 Blackwell wins 20 tests. All 20 benchmark results are automatically gathered from active rental servers, providing real-world performance data rather than synthetic testing.
In language model inference testing across 8 different models, the RTX 3090 is 33% slower than the RTX Pro 6000 Blackwell on average. For llama3.1:8b-instruct-q8_0 inference, the RTX 3090 reaches 96 tokens/s while the RTX Pro 6000 Blackwell achieves 155 tokens/s, making the RTX 3090 significantly slower with a 38% deficit. Overall, the RTX 3090 wins 0 out of 8 LLM tests with an average 33% 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 3090 is 61% slower than the RTX Pro 6000 Blackwell in this category. When testing sd3.5-medium, the RTX 3090 completes generations at 31 s/image while the RTX Pro 6000 Blackwell achieves 3.5 s/image, making the RTX 3090 substantially slower with a 89% deficit. Across all 12 image generation benchmarks, the RTX 3090 wins 0 tests with an average 61% 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 3090 and RTX Pro 6000 Blackwell in our fleet using standardized test suites:
Note: RTX 3090 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 3090 and RTX Pro 6000 Blackwell.
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