Direct performance comparison between the RTX A4000 and RTX 4090 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 RTX 4090 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 55% slower than the RTX 4090 on average. For llama3.1:8b inference, the RTX A4000 reaches 76 tokens/s while the RTX 4090 achieves 172 tokens/s, making the RTX A4000 substantially slower with a 56% deficit. Overall, the RTX A4000 wins 0 out of 4 LLM tests with an average 55% performance difference, making the RTX 4090 the better option for LLM inference tasks.
Evaluating AI image generation across 10 different Stable Diffusion models, the RTX A4000 is 42% slower than the RTX 4090 in this category. When testing sd1.5, the RTX A4000 completes generations at 34 images/min while the RTX 4090 achieves 70 images/min, making the RTX A4000 substantially slower with a 52% deficit. Across all 10 image generation benchmarks, the RTX A4000 wins 0 tests with an average 42% performance difference, making the RTX 4090 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 RTX 4090 in our fleet using standardized test suites:
Note: RTX A4000 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 RTX A4000 and RTX 4090.
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