Directe prestatievergelijking tussen de V100 en RTX A4000 across 22 standardized AI benchmarks collected from our production fleet. Testing shows the V100 winning 16 out of 22 benchmarks (73% win rate), while the RTX A4000 wins 6 tests. All 22 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 18 different Stable Diffusion models, the V100 is 45% faster than the RTX A4000 in this category. When testing sd3.5-large, the V100 completes generations at 1.6 images/min compared to RTX A4000's 0.67 images/min, making the V100 substantially faster with a 145% advantage. Across all 18 image generation benchmarks, the V100 wins 12 tests with an average 45% 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 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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