A100 vs V100 - GPU Benchmark Comparison

Direct performance comparison between the A100 and V100 across 12 standardized AI benchmarks collected from our production fleet. Testing shows the A100 winning 12 out of 12 benchmarks (100% win rate), while the V100 wins 0 tests. All 12 benchmark results are automatically gathered from active rental servers, providing real-world performance data rather than synthetic testing.

LLM Inference Performance: A100 34% faster

In language model inference testing across 4 different models, the A100 is 34% faster than the V100 on average. For gpt-oss:20b inference, the A100 achieves 149 tokens/s compared to V100's 113 tokens/s, making the A100 significantly faster with a 32% advantage. Overall, the A100 wins 4 out of 4 LLM tests with an average 34% performance difference, making it the stronger choice for transformer model inference workloads.

Image Generation Performance: A100 191% faster

Evaluating AI image generation across 8 different Stable Diffusion models, the A100 is 191% faster than the V100 in this category. When testing sdxl, the A100 completes generations at 23 images/min compared to V100's 9.8 images/min, making the A100 substantially faster with a 137% advantage. Across all 8 image generation benchmarks, the A100 wins 8 tests with an average 191% performance difference, establishing it as the preferred GPU for Stable Diffusion, SDXL, and Flux deployments.

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About These Benchmarks of A100 vs V100

Our benchmarks are collected automatically from servers having gpus of type A100 and V100 in our fleet using standardized test suites:

Note: A100 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 A100 and V100.

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