Direct performance comparison between the RTX 4090 Pro and RTX A4000 across 14 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 4090 Pro winning 14 out of 14 benchmarks (100% win rate), while the RTX A4000 wins 0 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 4090 Pro is 122% faster than the RTX A4000 on average. For llama3.1:8b inference, the RTX 4090 Pro achieves 172 tokens/s compared to RTX A4000's 76 tokens/s, making the RTX 4090 Pro substantially faster with a 127% advantage. Overall, the RTX 4090 Pro wins 4 out of 4 LLM tests with an average 122% performance difference, making it the stronger choice for transformer model inference workloads.
Evaluating AI image generation across 10 different Stable Diffusion models, the RTX 4090 Pro is 250% faster than the RTX A4000 in this category. When testing sd3.5-medium, the RTX 4090 Pro completes generations at 6.1 s/image compared to RTX A4000's 34 s/image, making the RTX 4090 Pro substantially faster with a 460% advantage. Across all 10 image generation benchmarks, the RTX 4090 Pro wins 10 tests with an average 250% 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 RTX 4090 Pro and RTX A4000 in our fleet using standardized test suites:
Note: RTX 4090 Pro and RTX A4000 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 RTX A4000.
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