A100 vs RTX Pro 6000 Blackwell - GPU Benchmark Comparison

Direct performance comparison between the A100 and RTX Pro 6000 Blackwell across 20 standardized AI benchmarks collected from our production fleet. Testing shows the A100 winning 0 out of 20 benchmarks (0% win rate), while the RTX Pro 6000 Blackwell wins 20 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 29% slower

In language model inference testing across 8 different models, the A100 is 29% slower than the RTX Pro 6000 Blackwell on average. For llama3.1:8b inference, the A100 reaches 154 tokens/s while the RTX Pro 6000 Blackwell achieves 225 tokens/s, making the A100 significantly slower with a 32% deficit. Overall, the A100 wins 0 out of 8 LLM tests with an average 29% performance difference, making the RTX Pro 6000 Blackwell the better option for LLM inference tasks.

Image Generation Performance: A100 37% slower

Evaluating AI image generation across 12 different Stable Diffusion models, the A100 is 37% slower than the RTX Pro 6000 Blackwell in this category. When testing sd3.5-medium, the A100 completes generations at 8.9 images/min while the RTX Pro 6000 Blackwell achieves 17 images/min, making the A100 substantially slower with a 48% deficit. Across all 12 image generation benchmarks, the A100 wins 0 tests with an average 37% performance difference, making the RTX Pro 6000 Blackwell the better choice for Stable Diffusion, SDXL, and Flux workloads.

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