Deep Learning GPU Benchmarks - V100 vs 2080 Ti vs 1080 Ti vs Titan V

The NVIDIA RTX 2080 Ti is the best GPU for deep learning, offering 37% faster FP32 performance and 62% faster FP16 performance compared to the GTX 1080 Ti. The V100 GPU comes in second, with 80% of the RTX 2080 Ti's FP32 performance and 82% of its FP16 performance, at a significantly lower cost. However, the V100 is not ideal for FP64 compute or extremely large models that require more memory. The RTX 2080 Ti is like a Porsche 911, fast but expensive, while the V100 is like a Bugatti Veyron, incredibly fast but also very expensive. The study used synthetic data and trained multiple models on each GPU to evaluate their performance, with benchmarks conducted using a Lambda Vector workstation with swapped GPUs. The results show that the RTX 2080 Ti is the best choice for deep learning, offering the best balance of performance and cost.

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