Quadro P4000 vs RTX 5080

The RTX 5080 delivers FP16 dense performance of 112.6 TFLOPS against no published FP16 figure for the Quadro P4000 while its FP32 rating reaches 56.3 TFLOPS compared to 5.3 TFLOPS on the Quadro P4000. This FP16 dense to FP32 ratio on the RTX 5080 supports faster matrix operations in training workloads than the older card can achieve with its limited published metrics. Memory bandwidth of 960 GB/s on the RTX 5080 versus 243 GB/s on the Quadro P4000 permits larger batch sizes during inference without swapping data as frequently. The RTX 5080 also lists FP8 dense at 225.1 TFLOPS and INT8 dense at 450.2 TOPS figures absent from the Quadro P4000 specifications. These gaps translate to shorter iteration times on the RTX 5080 for dense tensor computations while the Quadro P4000 remains constrained by its 8 GB capacity and lower bandwidth.

The Quadro P4000 suits environments where power draw must stay at 105W and PCIe 3.0 compatibility is required. Its 8 GB GDDR5 configuration handles lighter professional visualization tasks that do not demand the 56.3 TFLOPS FP32 rating of newer cards. Users with existing Pascal era systems benefit from direct integration without TDP upgrades to 360W.

The RTX 5080 fits workloads needing 16 GB GDDR7 and 960 GB/s bandwidth for larger models. Its FP16 dense rating of 112.6 TFLOPS accelerates dense matrix operations beyond the 5.3 TFLOPS FP32 limit of the Quadro P4000. PCIe 5.0 support further reduces data transfer latency in multi GPU setups compared to PCIe 3.0.