L40S vs Quadro RTX 5000

The FP16 dense performance of the L40S reaches 362.05 TFLOPS while the Quadro RTX 5000 reaches 89.2 TFLOPS. This gap means the L40S can process larger batches during training or inference steps that rely on dense FP16 operations. The L40S FP16 figure with sparsity reaches 733 TFLOPS compared to the dense figure of 89.2 TFLOPS on the Quadro RTX 5000. Memory bandwidth of 864 GB/s on the L40S versus 448 GB/s on the Quadro RTX 5000 allows the L40S to sustain higher data movement rates that support larger batch sizes in memory intensive operations. The FP32 performance of 91.6 TFLOPS on the L40S versus 11.2 TFLOPS on the Quadro RTX 5000 further widens the throughput difference for precision levels that do not use sparsity.

The L40S suits workloads that require 48 GB GDDR6 VRAM and FP16 dense performance of 362.05 TFLOPS. Users select the L40S when memory bandwidth of 864 GB/s supports larger batch sizes than the 448 GB/s available on the Quadro RTX 5000. The 350 W TDP of the L40S fits deployments that prioritize the FP8 dense figure of 733 TFLOPS over lower power alternatives.

The Quadro RTX 5000 suits workloads that operate within 16 GB GDDR6 VRAM and a 230 W TDP. Users select the Quadro RTX 5000 when INT8 dense performance of 178.4 TOPS meets requirements without the need for the higher FP32 figure of 91.6 TFLOPS found on the L40S. The NVLink interconnect option on the Quadro RTX 5000 provides an alternative to the PCIe 4.0 interconnect of the L40S in specific multi GPU setups.