A100 vs Quadro P4000

FP32 performance reaches 19.5 TFLOPS on the A100 and 5.3 TFLOPS on the Quadro P4000. The A100 also supplies FP16 dense performance of 312 TFLOPS and FP16 with sparsity performance of 624 TFLOPS. No FP16 figures appear for the Quadro P4000. The ratio of FP16 dense to FP32 on the A100 equals 312 divided by 19.5. Memory bandwidth of 2039 GB/s on the A100 supports larger batch sizes than the 243 GB/s bandwidth on the Quadro P4000. INT8 dense performance of 624 TOPS and INT8 with sparsity performance of 1248 TOPS further distinguish the A100. These differences translate into higher throughput for tensor operations on the A100 when dense or sparse modes apply.

The A100 suits large scale training and inference tasks that require 40 to 80 GB HBM2e memory capacity. Its 2039 GB/s bandwidth and 312 TFLOPS FP16 dense rating accommodate bigger models and higher batch sizes than the Quadro P4000 can handle. NVLink and InfiniBand interconnects on the A100 enable multi GPU scaling not available on the Quadro P4000.

The Quadro P4000 fits entry level graphics and compute workloads that stay within 8 GB GDDR5 memory limits. Its 105W TDP allows deployment in systems with lower power budgets than the 400W requirement of the A100. FP32 performance of 5.3 TFLOPS meets basic visualization or light compute needs without excess capacity.