Directe prestatievergelijking tussen de V100 en RTX Pro 6000 Blackwell 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 RTX Pro 6000 Blackwell wins 24 tests. All 24 benchmark results are automatically gathered from active rental servers, providing real-world performance data rather than synthetic testing.
In language model inference testing across 4 different models, the V100 is 45% slower than the RTX Pro 6000 Blackwell on average. For gpt-oss:20b inference, the V100 reaches 113 tokens/s while the RTX Pro 6000 Blackwell achieves 208 tokens/s, making the V100 substantially slower with a 46% deficit. Overall, the V100 wins 0 out of 4 LLM tests with an average 45% performance difference, making the RTX Pro 6000 Blackwell the better option for LLM inference tasks.
Evaluating AI image generation across 20 different Stable Diffusion models, the V100 is 65% slower than the RTX Pro 6000 Blackwell in this category. When testing sd3.5-medium, the V100 completes generations at 45 s/image while the RTX Pro 6000 Blackwell achieves 3.5 s/image, making the V100 substantially slower with a 92% deficit. Across all 20 image generation benchmarks, the V100 wins 0 tests with an average 65% performance difference, making the RTX Pro 6000 Blackwell the better choice for Stable Diffusion, SDXL, and Flux workloads.
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Our benchmarks are collected automatically from servers having gpus of type V100 and RTX Pro 6000 Blackwell in our fleet using standardized test suites:
Note: V100 and RTX Pro 6000 Blackwell 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 RTX Pro 6000 Blackwell.
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