Key specs of NVIDIA A100 SXM (40GB) for transformer workloads

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At a glance: NVIDIA A100 SXM (40GB) = Ampere architecture, 40 GB HBM2e memory, 1,555 GB/s bandwidth, 312 FP16 TFLOPS, 19.5 FP32 TFLOPS, 400W, 2020.

Those specs tell most of the story for machine learning: VRAM sets the model ceiling, bandwidth throttles attention-heavy production inference, and TFLOPS set pre-training throughput. NVIDIA A100 SXM (40GB) sits firmly in the class of accelerators targeted at modern transformer workloads — the bandwidth/TFLOPS balance is tuned for large-batch pre-training and production production inference rather than gaming.

Two tracked cloud providers currently offer NVIDIA A100 SXM (40GB): Vast.ai and RunPod. Vast.ai has the cheaper rate at $0.80/hr.