Quadro P5000 vs RTX 3070

The RTX 3070 delivers 20.3 TFLOPS of FP32 performance compared with the 8.9 TFLOPS of the Quadro P5000. The RTX 3070 also lists dense FP16 performance at 40.6 TFLOPS which equals twice its FP32 rating of 20.3 TFLOPS. The Quadro P5000 lists no FP16 figure. Memory bandwidth of 448 GB/s on the RTX 3070 exceeds the 288 GB/s on the Quadro P5000 and therefore supports larger batch sizes during inference or training workloads that move substantial tensor data. The RTX 3070 further lists dense INT8 performance at 162.6 TOPS. These differences indicate that the RTX 3070 processes dense FP16 workloads at a higher rate than the Quadro P5000 can achieve at FP32.

The Quadro P5000 suits workloads that require 16 GB VRAM capacity even at the lower FP32 rating of 8.9 TFLOPS and the reduced TDP of 180W. Scenarios that prioritize memory size over peak throughput or that operate within PCIe 3.0 systems benefit from this configuration.

The RTX 3070 suits workloads that require the dense FP16 rating of 40.6 TFLOPS or the FP32 rating of 20.3 TFLOPS together with 448 GB/s bandwidth. Scenarios that value higher tensor throughput and PCIe 4.0 interconnect benefit from this configuration despite the 8 GB VRAM limit.