A40 vs GTX 1080

The A40 FP32 rating of 37.4 TFLOPS exceeds the GTX 1080 FP32 rating of 8.9 TFLOPS by a factor of four and supports accelerated matrix operations in both training and inference pipelines. Dense FP16 performance reaches 149.7 TFLOPS on the A40 and allows reduced precision workloads to complete in fewer cycles than FP32 alone would permit on either card. Memory bandwidth of 696 GB/s on the A40 permits larger batch sizes during model execution compared with the 320 GB/s limit on the GTX 1080. The A40 also lists dense INT8 throughput at 299.3 TOPS which further widens the gap for quantized inference relative to the GTX 1080 that lacks published INT8 figures.

The A40 suits workloads that require the full 48 GB memory capacity and dense FP16 throughput of 149.7 TFLOPS for handling large tensors without frequent swapping. Its NVLink interconnect and 696 GB/s bandwidth further enable efficient scaling in multi GPU scientific simulations that exceed the limits of the GTX 1080.

The GTX 1080 fits scenarios where only 8.9 TFLOPS FP32 performance is needed and power draw must remain at 180W. Its PCIe 3.0 interface also aligns with older server platforms that lack PCIe 4.0 support.