L40S vs Quadro P6000

The L40S delivers 362.05 TFLOPS dense FP16 while the Quadro P6000 lists no FP16 figure from the vendor. This dense FP16 advantage on the L40S supports larger model handling during training sessions where precision formats matter. For inference the L40S also lists 733 TFLOPS dense FP8 and 733 TOPS dense INT8 against no published equivalents on the Quadro P6000. Memory bandwidth at 864 GB/s on the L40S versus 432 GB/s on the Quadro P6000 allows greater data movement per second which can sustain larger batch sizes in memory intensive operations. The L40S further provides 733 TFLOPS with sparsity for FP16 and 1466 TFLOPS with sparsity for FP8 compared to the Quadro P6000 where such figures remain unpublished. FP32 dense performance at 91.6 TFLOPS on the L40S exceeds the 12.6 TFLOPS dense FP32 on the Quadro P6000 by a factor derived directly from these specifications.

The L40S suits scenarios requiring 48 GB GDDR6 VRAM and 864 GB/s memory bandwidth for handling extensive datasets in compute heavy tasks. Its 362.05 TFLOPS dense FP16 and 91.6 TFLOPS dense FP32 enable faster processing in environments where the Quadro P6000 specifications fall short on published throughput numbers. Workloads that scale with the 350W TDP allowance benefit from these metrics on the L40S.

The Quadro P6000 fits cases where 24 GB GDDR5X VRAM and 12.6 TFLOPS dense FP32 suffice for lighter legacy applications. Its 250W TDP supports operation in systems with stricter power constraints compared to the 350W rating on the L40S. Users with established PCIe 3.0 setups may select the Quadro P6000 when published advanced tensor figures are not required.