L40 vs Quadro P5000

The L40 delivers FP32 performance at 90.5 TFLOPS which exceeds the Quadro P5000 figure of 8.9 TFLOPS by a factor of approximately 10. Its dense FP16 rating reaches 181.05 TFLOPS while the Quadro P5000 has no published FP16 value. This delta indicates the L40 supports larger scale training and inference workloads where half precision accelerates computations without loss of the dense specification. Memory bandwidth on the L40 stands at 864 GB/s against 288 GB/s on the Quadro P5000 which permits larger batch sizes during model execution. The L40 also lists dense FP8 at 362 TFLOPS and dense INT8 at 362 TOPS with corresponding sparsity doubled figures though the Quadro P5000 provides no equivalent data. TDP differences further separate sustained operation potential between the 300W L40 and 180W Quadro P5000.

The L40 suits scenarios that require 48 GB VRAM and 864 GB/s bandwidth for handling extensive datasets. Its 90.5 TFLOPS FP32 rating and dense FP16 at 181.05 TFLOPS enable efficient processing of large models where the Quadro P5000 specifications fall short. PCIe 4.0 interconnect further supports modern system integration at 300W TDP.

The Quadro P5000 fits environments limited to 180W TDP and PCIe 3.0 interconnect with 16 GB GDDR5X memory. Its 8.9 TFLOPS FP32 rating meets basic requirements in legacy setups where higher specifications of the L40 exceed necessary thresholds or power constraints.