Direct performance comparison between the V100 and RTX 4090 Pro across 12 standardized AI benchmarks collected from our production fleet. Testing shows the V100 winning 0 out of 12 benchmarks (0% win rate), while the RTX 4090 Pro wins 12 tests. All 12 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 V100 is 31% slower than the RTX 4090 Pro on average. For qwen3:8b inference, the V100 reaches 99 tokens/s while the RTX 4090 Pro achieves 148 tokens/s, making the V100 significantly slower with a 33% deficit. Overall, the V100 wins 0 out of 4 LLM tests with an average 31% performance difference, making the RTX 4090 Pro the better option for LLM inference tasks.
Evaluating AI image generation across 8 different Stable Diffusion models, the V100 is 55% slower than the RTX 4090 Pro in this category. When testing sdxl, the V100 completes generations at 6.1 s/image while the RTX 4090 Pro achieves 2.6 s/image, making the V100 substantially slower with a 57% deficit. Across all 8 image generation benchmarks, the V100 wins 0 tests with an average 55% performance difference, making the RTX 4090 Pro the better choice for Stable Diffusion, SDXL, and Flux workloads.
Order a GPU Server with V100 All GPU Server Benchmarks
Loading benchmark data...
Our benchmarks are collected automatically from servers having gpus of type V100 and RTX 4090 Pro in our fleet using standardized test suites:
Note: V100 and RTX 4090 Pro AI Benchmark Results may vary based on system load, configuration, and specific hardware revisions. These benchmarks represent median values from multiple test runs of V100 and RTX 4090 Pro.
Order a GPU Server with V100 Order a GPU Server with RTX 4090 Pro View All Benchmarks