RTX 4090 vs RTX A5000

The RTX 4090 records 165.2 TFLOPS dense FP16 against its 82.6 TFLOPS FP32 which yields a twofold increase in throughput for half precision workloads. The RTX A5000 lists no dense FP16 value and instead reports 222.2 TFLOPS FP16 with sparsity next to its 27.8 TFLOPS FP32. When both GPUs are measured with sparsity the RTX 4090 reaches 330.4 TFLOPS FP16 with sparsity versus 222.2 TFLOPS FP16 with sparsity on the RTX A5000. Memory bandwidth of 1008 GB/s on the RTX 4090 exceeds the 768 GB/s figure of the RTX A5000 and therefore supports larger batch sizes during training or inference passes that move substantial activation data. The 450W TDP of the RTX 4090 compared with the 230W TDP of the RTX A5000 further indicates that sustained dense FP16 operations at 165.2 TFLOPS remain feasible only when power delivery and cooling accommodate the higher envelope.

The RTX 4090 suits workloads that require dense FP16 throughput of 165.2 TFLOPS or FP32 throughput of 82.6 TFLOPS. Its 1008 GB/s bandwidth also enables larger batch processing than the 768 GB/s available on the alternative card.

The RTX A5000 fits deployments constrained to a 230W TDP or that require NVLink interconnect alongside the 24 GB memory capacity. Its lower power draw supports denser node packing where 27.8 TFLOPS FP32 meets application targets.