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V100 vs A100 - GPU Benchmark Comparison

Directe prestatievergelijking tussen de V100 en A100 across 24 standardized AI benchmarks collected from our production fleet. Testing shows the V100 winning 0 out of 24 benchmarks (0% win rate), while the A100 wins 24 tests. All 24 benchmark results are automatically gathered from active rental servers, providing real-world performance data rather than synthetic testing.

LLM Inference Performance: V100 25% slower

In language model inference testing across 4 different models, the V100 is 25% slower than the A100 on average. For gpt-oss:20b inference, the V100 reaches 113 tokens/s while the A100 achieves 149 tokens/s, making the V100 significantly slower with a 24% deficit. Overall, the V100 wins 0 out of 4 LLM tests with an average 25% performance difference, making the A100 the better option for LLM inference tasks.

Image Generation Performance: V100 55% slower

Evaluating AI image generation across 20 different Stable Diffusion models, the V100 is 55% slower than the A100 in this category. When testing flux-schnell, the V100 completes generations at 0.77 images/min while the A100 achieves 2.8 images/min, making the V100 substantially slower with a 73% deficit. Across all 20 image generation benchmarks, the V100 wins 0 tests with an average 55% performance difference, making the A100 the better choice for Stable Diffusion, SDXL, and Flux workloads.

Bestel een GPU-server met V100 Alle GPU Server Benchmarks

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About These Benchmarks of V100 vs A100

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

Note: V100 and A100 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 A100.

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