Direct performance comparison between the A100 and RTX 4090 across 20 standardized AI benchmarks collected from our production fleet. Testing shows the A100 winning 8 out of 20 benchmarks (40% win rate), while the RTX 4090 wins 12 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 A100 is 11% slower than the RTX 4090 on average. For gpt-oss:20b inference, the A100 reaches 149 tokens/s while the RTX 4090 achieves 181 tokens/s, making the A100 noticeably slower with a 18% deficit. Overall, the A100 wins 1 out of 8 LLM tests with an average 15% performance difference, making the RTX 4090 the better option for LLM inference tasks.
Evaluating AI image generation across 12 different Stable Diffusion models, the A100 is 90% faster than the RTX 4090 in this category. When testing sd3.5-medium, the A100 completes generations at 8.9 images/min compared to RTX 4090's 2.6 images/min, making the A100 substantially faster with a 239% advantage. Across all 12 image generation benchmarks, the A100 wins 7 tests with an average 90% 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 A100 and RTX 4090 in our fleet using standardized test suites:
Note: A100 and RTX 4090 AI Benchmark Results may vary based on system load, configuration, and specific hardware revisions. These benchmarks represent median values from multiple test runs of A100 and RTX 4090.
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