Quadro P4000 vs RTX A6000

The RTX A6000 delivers dense FP16 performance of 154.8 TFLOPS compared with no published FP16 figure for the Quadro P4000. Its dense FP32 rating of 38.7 TFLOPS exceeds the Quadro P4000 rating of 5.3 TFLOPS by more than seven times. Memory bandwidth of 768 GB/s versus 243 GB/s permits larger batch sizes during training and inference on the RTX A6000. When sparsity is enabled the RTX A6000 reaches 309.6 TFLOPS in dense FP16 mode and 619.4 TOPS in dense INT8 mode. These ratios indicate that models fitting within 8 GB on the Quadro P4000 can scale to substantially larger contexts or batch counts on the RTX A6000 without changing precision formats.

The Quadro P4000 suits environments constrained to 105 W TDP and PCIe 3.0 interconnect. Workloads that require only 8 GB VRAM and 5.3 TFLOPS FP32 remain viable on this card in legacy workstations. Its lower power draw reduces cooling demands in compact chassis where 300 W cards cannot be accommodated.

The RTX A6000 fits applications that demand 48 GB VRAM and 768 GB/s bandwidth for large batch training or inference. Its 38.7 TFLOPS FP32 rating and support for NVLink plus PCIe 4.0 enable scaling beyond the limits of 8 GB cards. Dense FP16 at 154.8 TFLOPS and dense INT8 at 309.7 TOPS accelerate tensor workloads that exceed the capacity of the Quadro P4000.