RTX A4000 vs V100 - GPU Benchmark Comparison

Direct performance comparison between the RTX A4000 and V100 across 12 standardized AI benchmarks collected from our production fleet. Testing shows the RTX A4000 winning 4 out of 12 benchmarks (33% win rate), while the V100 wins 8 tests. All 12 benchmark results are automatically gathered from active rental servers, providing real-world performance data rather than synthetic testing.

LLM Inference Performance: RTX A4000 35% slower

In language model inference testing across 4 different models, the RTX A4000 is 35% slower than the V100 on average. For llama3.1:8b inference, the RTX A4000 reaches 76 tokens/s while the V100 achieves 118 tokens/s, making the RTX A4000 significantly slower with a 36% deficit. Overall, the RTX A4000 wins 0 out of 4 LLM tests with an average 35% performance difference, making the V100 the better option for LLM inference tasks.

Image Generation Performance: RTX A4000 roughly equal performance

Evaluating AI image generation across 8 different Stable Diffusion models, the RTX A4000 performs nearly identically to the V100, with less than 10% average difference. When testing sdxl, the RTX A4000 completes generations at 7.7 images/min while the V100 achieves 9.8 images/min, making the RTX A4000 significantly slower with a 22% deficit. Across all 8 image generation benchmarks, the RTX A4000 wins 4 tests with an average 18% performance difference, showing both GPUs are equally suitable for Stable Diffusion, SDXL, and Flux deployments.

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About These Benchmarks of RTX A4000 vs V100

Our benchmarks are collected automatically from servers having gpus of type RTX A4000 and V100 in our fleet using standardized test suites:

Note: RTX A4000 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 A4000 and V100.

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