L40S vs RTX 5080

The FP16 dense figure of 362.05 TFLOPS on the L40S exceeds the corresponding 112.6 TFLOPS dense value on the RTX 5080 by more than threefold. This gap implies that training and inference steps executed in dense FP16 complete substantially faster on the L40S for equivalent batch sizes. When sparsity is enabled the L40S reaches 733 TFLOPS while the RTX 5080 reaches 225.1 TFLOPS, preserving the same relative ordering. Memory bandwidth of 864 GB/s on the L40S versus 960 GB/s on the RTX 5080 affects the maximum sustainable batch size in memory-bound kernels. The 48 GB capacity of the L40S further permits larger models to reside entirely on a single device compared with the 16 GB limit of the RTX 5080.

The L40S suits workloads that require the 48 GB memory capacity to hold large tensors without partitioning. Its 362.05 TFLOPS dense FP16 rating supports faster dense matrix operations than the 112.6 TFLOPS dense FP16 rating of the RTX 5080. Applications that fit within the 350 W TDP envelope benefit from this higher arithmetic throughput.

The RTX 5080 fits scenarios that exploit its 960 GB/s memory bandwidth and PCIe 5.0 interconnect for data movement. Its FP4 dense rating of 900.4 TFLOPS enables low-precision inference paths unavailable on the L40S. The 360 W TDP remains comparable while the Blackwell architecture supplies features absent from the Ada Lovelace design of the L40S.