Direct performance comparison between the RTX 3090 and RTX A4000 across 14 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 3090 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 3090 is 87% faster than the RTX A4000 on average. For llama3.1:8b inference, the RTX 3090 achieves 145 tokens/s compared to RTX A4000's 76 tokens/s, making the RTX 3090 substantially faster with a 91% advantage. Overall, the RTX 3090 wins 4 out of 4 LLM tests with an average 87% performance difference, making it the stronger choice for transformer model inference workloads.
Evaluating AI image generation across 10 different Stable Diffusion models, the RTX 3090 is 34% faster than the RTX A4000 in this category. When testing sd1.5, the RTX 3090 completes generations at 1.3 s/image compared to RTX A4000's 1.8 s/image, making the RTX 3090 substantially faster with a 43% advantage. Across all 10 image generation benchmarks, the RTX 3090 wins 10 tests with an average 34% performance difference, establishing it as the preferred GPU for Stable Diffusion, SDXL, and Flux deployments.
Order a GPU Server with RTX 3090 All GPU Server Benchmarks
Loading benchmark data...
Our benchmarks are collected automatically from servers having gpus of type RTX 3090 and RTX A4000 in our fleet using standardized test suites:
Note: RTX 3090 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 3090 and RTX A4000.
Order a GPU Server with RTX 3090 Order a GPU Server with RTX A4000 View All Benchmarks