A30 vs RTX 3080

The A30 delivers 165 TFLOPS FP16 dense performance compared with 59.5 TFLOPS FP16 dense on the RTX 3080, producing a ratio of 2.77 times higher throughput on the A30 for dense operations. The same pattern holds for sparse figures where the A30 reaches 330 TFLOPS FP16 with sparsity against 119 TFLOPS FP16 with sparsity on the RTX 3080. FP32 performance reverses the trend with the RTX 3080 at 29.8 TFLOPS against 10.3 TFLOPS on the A30. Memory bandwidth of 933 GB/s on the A30 versus 760 GB/s on the RTX 3080 permits larger batch sizes during training or inference before memory capacity of 24 GB versus 10 GB to 12 GB becomes the limiting factor. INT8 dense throughput follows the same direction with 330 TOPS on the A30 versus 238 TOPS on the RTX 3080.

Its 165 W TDP further supports dense deployments where power limits constrain the number of accelerators per node. Workloads that rely on INT8 dense performance at 330 TOPS or FP16 dense performance at 165 TFLOPS gain measurable throughput advantages on this card.

The RTX 3080 suits FP32 centric scientific computing workloads that utilize its 29.8 TFLOPS FP32 rating. Its higher clock domain and consumer form factor also align with graphics adjacent compute tasks where the 320 W TDP remains acceptable and PCIe 4.0 connectivity suffices without NVLink.