Direct performance comparison between the RTX Pro 6000 Blackwell and A100 across 20 standardized AI benchmarks collected from our production fleet. Testing shows the RTX Pro 6000 Blackwell winning 20 out of 20 benchmarks (100% win rate), while the A100 wins 0 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 Pro 6000 Blackwell is 41% faster than the A100 on average. For llama3.1:8b inference, the RTX Pro 6000 Blackwell achieves 225 tokens/s compared to A100's 154 tokens/s, making the RTX Pro 6000 Blackwell substantially faster with a 46% advantage. Overall, the RTX Pro 6000 Blackwell wins 8 out of 8 LLM tests with an average 41% 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 290% faster than the A100 in this category. When testing sd3.5-medium, the RTX Pro 6000 Blackwell completes generations at 17 images/min compared to A100's 8.9 images/min, making the RTX Pro 6000 Blackwell substantially faster with a 93% advantage. Across all 12 image generation benchmarks, the RTX Pro 6000 Blackwell wins 12 tests with an average 290% 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 A100 in our fleet using standardized test suites:
Note: RTX Pro 6000 Blackwell and A100 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 A100.
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