A100 vs RTX 4080 Super Pro - GPU Benchmark Comparison

Direct performance comparison between the A100 and RTX 4080 Super Pro across 20 standardized AI benchmarks collected from our production fleet. Testing shows the A100 winning 13 out of 20 benchmarks (65% win rate), while the RTX 4080 Super Pro wins 7 tests. All 20 benchmark results are automatically gathered from active rental servers, providing real-world performance data rather than synthetic testing.

LLM Inference Performance: A100 15% faster

In language model inference testing across 8 different models, the A100 is 15% faster than the RTX 4080 Super Pro on average. For qwen3-coder:30b inference, the A100 reaches 115 tokens/s while the RTX 4080 Super Pro achieves 158 tokens/s, making the A100 significantly slower with a 28% deficit. Overall, the A100 wins 7 out of 8 LLM tests with an average 22% performance difference, making it the stronger choice for transformer model inference workloads.

Image Generation Performance: A100 24% faster

Evaluating AI image generation across 12 different Stable Diffusion models, the A100 is 24% faster than the RTX 4080 Super Pro in this category. When testing sdxl, the A100 completes generations at 23 images/min compared to RTX 4080 Super Pro's 17 images/min, making the A100 substantially faster with a 41% advantage. Across all 12 image generation benchmarks, the A100 wins 6 tests with an average 24% performance difference, showing both GPUs are equally suitable for Stable Diffusion, SDXL, and Flux deployments.

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