Quadro P6000 vs RTX 4080

The FP32 rating of 48.7 TFLOPS on the RTX 4080 exceeds the 12.6 TFLOPS figure on the Quadro P6000 by a factor derived directly from those two numbers. This gap influences training and inference runtimes when workloads rely on single precision arithmetic. Memory bandwidth of 717 GB/s versus 432 GB/s on the respective cards affects achievable batch sizes because higher transfer rates allow larger data movements per unit time before memory capacity limits intervene. The RTX 4080 lists dense FP16 performance at 97.5 TFLOPS and FP16 performance with sparsity at 195 TFLOPS. No FP16 value appears for the Quadro P6000 so comparisons remain limited to the published FP32 numbers. The 16 GB capacity on the RTX 4080 versus 24 GB on the Quadro P6000 requires workload adjustments when model size exceeds the smaller buffer even though bandwidth favors the RTX 4080.

The Quadro P6000 suits tasks that fit within its 24 GB GDDR5X capacity and that do not require FP16 figures beyond published data. Its 250W TDP and PCIe 3.0 interconnect align with systems that prioritize lower power draw or older slot compatibility over peak throughput. Workloads limited to the 12.6 TFLOPS FP32 rating benefit from the larger memory pool when batch sizes stay modest.

The RTX 4080 fits workloads that exploit its 48.7 TFLOPS FP32 rating along with dense FP16 at 97.5 TFLOPS. Its 717 GB/s bandwidth supports larger batch sizes compared with the 432 GB/s alternative when memory capacity of 16 GB remains sufficient. Newer PCIe 4.0 connectivity pairs with the 320W TDP for installations that accommodate higher power and faster interconnects.