Direct performance comparison between the V100 and RTX 5090 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 5090 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 52% slower than the RTX 5090 on average. For gpt-oss:20b inference, the V100 reaches 113 tokens/s while the RTX 5090 achieves 238 tokens/s, making the V100 substantially slower with a 52% deficit. Overall, the V100 wins 0 out of 4 LLM tests with an average 52% performance difference, making the RTX 5090 the better option for LLM inference tasks.
Evaluating AI image generation across 8 different Stable Diffusion models, the V100 is 64% slower than the RTX 5090 in this category. When testing sdxl, the V100 completes generations at 6.1 s/image while the RTX 5090 achieves 2.0 s/image, making the V100 substantially slower with a 67% deficit. Across all 8 image generation benchmarks, the V100 wins 0 tests with an average 64% performance difference, making the RTX 5090 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 V100 and RTX 5090 in our fleet using standardized test suites:
Note: V100 and RTX 5090 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 5090.
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