Direct performance comparison between the RTX 4090 Pro and A100 across 20 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 4090 Pro winning 11 out of 20 benchmarks (55% win rate), while the A100 wins 9 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 4090 Pro is 15% faster than the A100 on average. For gpt-oss:20b inference, the RTX 4090 Pro achieves 179 tokens/s compared to A100's 149 tokens/s, making the RTX 4090 Pro significantly faster with a 20% advantage. Overall, the RTX 4090 Pro wins 7 out of 8 LLM tests with an average 18% performance difference, making it the stronger choice for transformer model inference workloads.
Evaluating AI image generation across 12 different Stable Diffusion models, the RTX 4090 Pro is 142% slower than the A100 in this category. When testing sd3.5-medium, the RTX 4090 Pro completes generations at 9.8 images/min compared to A100's 8.9 images/min, making the RTX 4090 Pro moderately faster with a 11% advantage. Across all 12 image generation benchmarks, the RTX 4090 Pro wins 4 tests with an average 142% performance difference, making the A100 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 A100 in our fleet using standardized test suites:
Note: RTX 4090 Pro 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 4090 Pro and A100.
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