Direct performance comparison between the V100 and RTX A4000 across 12 standardized AI benchmarks collected from our production fleet. Testing shows the V100 winning 8 out of 12 benchmarks (67% win rate), while the RTX A4000 wins 4 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 55% faster than the RTX A4000 on average. For llama3.1:8b inference, the V100 achieves 118 tokens/s compared to RTX A4000's 76 tokens/s, making the V100 substantially faster with a 56% advantage. Overall, the V100 wins 4 out of 4 LLM tests with an average 55% performance difference, making it the stronger choice for transformer model inference workloads.
Evaluating AI image generation across 8 different Stable Diffusion models, the V100 performs nearly identically to the RTX A4000, with less than 10% average difference. When testing sd3.5-medium, the V100 completes generations at 43 s/image while the RTX A4000 achieves 34 s/image, making the V100 significantly slower with a 20% deficit. Across all 8 image generation benchmarks, the V100 wins 4 tests with an average 19% performance difference, showing both GPUs are equally suitable for Stable Diffusion, SDXL, and Flux deployments.
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Our benchmarks are collected automatically from servers having gpus of type V100 and RTX A4000 in our fleet using standardized test suites:
Note: V100 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 V100 and RTX A4000.
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