RTX A4000 vs RTX PRO 6000

FP32 throughput on the RTX PRO 6000 reaches 126 TFLOPS while the RTX A4000 reaches 19.2 TFLOPS, producing a ratio of 6.56 times higher compute on the newer card. FP16 figures with sparsity show the RTX PRO 6000 at 1007.6 TFLOPS against the RTX A4000 at 153.4 TFLOPS, again a 6.57 times advantage when sparsity is applied to both. Dense FP16 on the RTX PRO 6000 alone stands at 503.8 TFLOPS. Memory bandwidth of 1792 GB per second on the RTX PRO 6000 versus 448 GB per second on the RTX A4000 permits four times larger data movement per second and therefore supports proportionally larger batch sizes during training or inference. The 96 GB VRAM capacity on the RTX PRO 6000 compared with 16 to 20 GB on the RTX A4000 further extends the feasible model size before swapping occurs.

Workloads that remain within 16 to 20 GB VRAM and require only 19.2 TFLOPS FP32 benefit from the RTX A4000 because its 140 W TDP reduces total system power draw. Inference tasks that tolerate the 153.4 TFLOPS FP16 figure with sparsity and run on existing PCIe 4.0 infrastructure avoid the need for higher power delivery.

Models that exceed 20 GB VRAM or demand the 503.8 TFLOPS dense FP16 rating select the RTX PRO 6000 because its 96 GB capacity and 1792 GB per second bandwidth accommodate larger batches without out of memory errors. Training runs that scale with the 1007.6 TFLOPS FP16 figure with sparsity finish faster on the Blackwell architecture.