Direct performance comparison between the RTX 4090 and A100 across 20 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 4090 winning 13 out of 20 benchmarks (65% win rate), while the A100 wins 7 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 is 15% faster than the A100 on average. For gpt-oss:20b inference, the RTX 4090 achieves 181 tokens/s compared to A100's 149 tokens/s, making the RTX 4090 significantly faster with a 21% advantage. Overall, the RTX 4090 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 is 39% slower than the A100 in this category. When testing sd3.5-medium, the RTX 4090 completes generations at 2.4 images/min while the A100 achieves 8.9 images/min, making the RTX 4090 substantially slower with a 73% deficit. Across all 12 image generation benchmarks, the RTX 4090 wins 6 tests with an average 39% performance difference, showing both GPUs are equally suitable for Stable Diffusion, SDXL, and Flux deployments.
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Our benchmarks are collected automatically from servers having gpus of type RTX 4090 and A100 in our fleet using standardized test suites:
Note: RTX 4090 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 and A100.
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