How does NVIDIA A2 perform on Stable Diffusion?

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How fast is NVIDIA A2? The raw numbers: 18 TFLOPS FP16, 4.5 TFLOPS FP32, 200 GB/s memory bandwidth. In mixed-precision AI jobs, that translates to sustained throughput comfortably above older generations.

For model training, expect wall-clock times that scale predictably from those TFLOPS figures at large batch sizes. For low-latency inference, real-world latency is dominated by memory bandwidth and by how much of your KV-cache fits on-chip — so the 200 GB/s and 16 GB capacity matter more than headline TFLOPS.

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