RTX 4090 vs RTX A4500

Dense FP16 throughput reaches 165.2 TFLOPS on the RTX 4090 family compared with 19.2 TFLOPS on the RTX A4500 family so training iterations complete faster on the former when sparsity remains disabled. The same dense FP16 figures indicate inference latency drops proportionally when batch processing stays within the 24 GB limit of the RTX 4090 variant versus the 20 GB limit of the RTX A4500 variant. Memory bandwidth of 1008 GB/s on the RTX 4090 family versus 448 GB/s on the RTX A4500 family permits larger batch sizes before memory stalls occur during both training and inference passes. FP32 throughput of 82.6 TFLOPS on the RTX 4090 family versus 19.2 TFLOPS on the RTX A4500 family produces similar scaling for single precision scientific workloads. Sparsity enabled FP16 reaches 330.4 TFLOPS on the RTX 4090 family while the RTX A4500 family lists no sparsity figure so only dense comparisons remain valid between the two.

The RTX 4090 variant suits LLM training runs that require the 24 GB capacity together with 165.2 TFLOPS dense FP16 to finish epochs within acceptable wall clock time. Workloads that also need 1008 GB/s bandwidth to sustain large batches select this card over alternatives limited to 448 GB/s.

The RTX A4500 variant fits environments constrained to 140W TDP where 19.2 TFLOPS dense FP16 still meets inference targets inside the 20 GB frame. Power limited servers therefore adopt this card when the 450W envelope of the RTX 4090 variant exceeds available cooling or electrical budgets.