Quadro P5000 vs RTX 2070

The FP32 performance of 8.9 TFLOPS on the Quadro P5000 exceeds the 7.5 TFLOPS on the RTX 2070. The RTX 2070 lists dense FP16 at 29.9 TFLOPS which has no corresponding published value for the Quadro P5000. Memory bandwidth at 448 GB/s on the RTX 2070 surpasses 288 GB/s on the Quadro P5000 and this difference influences achievable batch sizes during processing. The RTX 2070 also lists dense INT8 at 119.4 TOPS with no published equivalent for the Quadro P5000. These tensor metrics indicate that the RTX 2070 supports higher throughput in dense low precision operations while the Quadro P5000 offers greater memory capacity for models that fit within its 16 GB limit.

The Quadro P5000 suits workloads that require the 16 GB memory capacity to accommodate larger datasets or models that exceed the 8 GB limit of the RTX 2070. Its 8.9 TFLOPS FP32 rating provides an advantage in precision sensitive tasks where dense FP16 figures remain unavailable. The 180W TDP also aligns with systems that accommodate this power envelope without issue.

The RTX 2070 fits scenarios that utilize its dense FP16 rating of 29.9 TFLOPS or dense INT8 rating of 119.4 TOPS for accelerated tensor operations. Its 448 GB/s memory bandwidth supports larger batch sizes than the 288 GB/s available on the Quadro P5000. The 175W TDP offers a minor efficiency edge in sustained runs.