Directe prestatievergelijking tussen de RTX A4000 en A100 across 14 standardized AI benchmarks collected from our production fleet. Testing shows the RTX A4000 winning 0 out of 14 benchmarks (0% win rate), while the A100 wins 14 tests. All 14 benchmark results are automatically gathered from active rental servers, providing real-world performance data rather than synthetic testing.
In language model inference testing across 4 different models, the RTX A4000 is 51% slower than the A100 on average. For llama3.1:8b inference, the RTX A4000 reaches 76 tokens/s while the A100 achieves 154 tokens/s, making the RTX A4000 substantially slower with a 51% deficit. Overall, the RTX A4000 wins 0 out of 4 LLM tests with an average 51% performance difference, making the A100 the better option for LLM inference tasks.
Evaluating AI image generation across 10 different Stable Diffusion models, the RTX A4000 is 63% slower than the A100 in this category. When testing sd3.5-large, the RTX A4000 completes generations at 0.67 images/min while the A100 achieves 3.9 images/min, making the RTX A4000 substantially slower with a 83% deficit. Across all 10 image generation benchmarks, the RTX A4000 wins 0 tests with an average 63% 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 A4000 and A100 in our fleet using standardized test suites:
Note: RTX A4000 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 A4000 and A100.
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