Direct performance comparison between the RTX Pro 6000 Blackwell and RTX 4080 Super Pro across 21 standardized AI benchmarks collected from our production fleet. Testing shows the RTX Pro 6000 Blackwell winning 16 out of 21 benchmarks (76% win rate), while the RTX 4080 Super Pro wins 5 tests. All 21 benchmark results are automatically gathered from active rental servers, providing real-world performance data rather than synthetic testing.
In language model inference testing across 9 different models, the RTX Pro 6000 Blackwell is 57% faster than the RTX 4080 Super Pro on average. For deepseek-r1:32b inference, the RTX Pro 6000 Blackwell achieves 64 tokens/s compared to RTX 4080 Super Pro's 34 tokens/s, making the RTX Pro 6000 Blackwell substantially faster with a 89% advantage. Overall, the RTX Pro 6000 Blackwell wins 8 out of 9 LLM tests with an average 57% performance difference, making it the stronger choice for transformer model inference workloads.
Evaluating AI image generation across 12 different Stable Diffusion models, the RTX Pro 6000 Blackwell is 323% faster than the RTX 4080 Super Pro in this category. When testing sd3.5-large, the RTX Pro 6000 Blackwell completes generations at 7.2 images/min compared to RTX 4080 Super Pro's 2.5 images/min, making the RTX Pro 6000 Blackwell substantially faster with a 184% advantage. Across all 12 image generation benchmarks, the RTX Pro 6000 Blackwell wins 8 tests with an average 323% performance difference, establishing it as the preferred GPU for Stable Diffusion, SDXL, and Flux deployments.
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Our benchmarks are collected automatically from servers having gpus of type RTX Pro 6000 Blackwell and RTX 4080 Super Pro in our fleet using standardized test suites:
Note: RTX Pro 6000 Blackwell and RTX 4080 Super Pro 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 Pro 6000 Blackwell and RTX 4080 Super Pro.
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