How does NVIDIA A100 SXM (80GB) perform on Stable Diffusion?

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How fast is NVIDIA A100 SXM (80GB)? The raw numbers: 312 TFLOPS FP16, 19.5 TFLOPS FP32, 2,039 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 2,039 GB/s and 80 GB capacity matter more than headline TFLOPS.

Launch a NVIDIA A100 SXM (80GB) instance on Vast.ai from $1.10/hr — or check Massed Compute and RunPod for alternative regions and availability.