Direct performance comparison between the RTX 4080 Super Pro and V100 across 12 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 4080 Super Pro winning 11 out of 12 benchmarks (92% win rate), while the V100 wins 1 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 RTX 4080 Super Pro is 12% faster than the V100 on average. For qwen3:8b inference, the RTX 4080 Super Pro achieves 115 tokens/s compared to V100's 99 tokens/s, making the RTX 4080 Super Pro noticeably faster with a 16% advantage. Overall, the RTX 4080 Super Pro wins 3 out of 4 LLM tests with an average 14% performance difference, making it the stronger choice for transformer model inference workloads.
Evaluating AI image generation across 8 different Stable Diffusion models, the RTX 4080 Super Pro is 138% faster than the V100 in this category. When testing sd1.5, the RTX 4080 Super Pro completes generations at 68 images/min compared to V100's 39 images/min, making the RTX 4080 Super Pro substantially faster with a 73% advantage. Across all 8 image generation benchmarks, the RTX 4080 Super Pro wins 8 tests with an average 138% 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 4080 Super Pro and V100 in our fleet using standardized test suites:
Note: RTX 4080 Super Pro and V100 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 4080 Super Pro and V100.
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