V100 vs RTX Pro 6000 Blackwell - GPU Benchmark Comparison

Direct performance comparison between the V100 and RTX Pro 6000 Blackwell across 12 standardized AI benchmarks collected from our production fleet. Testing shows the V100 winning 0 out of 12 benchmarks (0% win rate), while the RTX Pro 6000 Blackwell wins 12 tests. All 12 benchmark results are automatically gathered from active rental servers, providing real-world performance data rather than synthetic testing.

LLM Inference Performance: V100 45% slower

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.

Image Generation Performance: V100 60% slower

Evaluating AI image generation across 8 different Stable Diffusion models, the V100 is 60% slower than the RTX Pro 6000 Blackwell in this category. When testing sdxl, the V100 completes generations at 6.1 s/image while the RTX Pro 6000 Blackwell achieves 1.8 s/image, making the V100 substantially slower with a 70% deficit. Across all 8 image generation benchmarks, the V100 wins 0 tests with an average 60% performance difference, making the RTX Pro 6000 Blackwell the better choice for Stable Diffusion, SDXL, and Flux workloads.

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About These Benchmarks of V100 vs RTX Pro 6000 Blackwell

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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