L40S vs RTX 3070

Dense FP16 performance measures 362.05 TFLOPS on the L40S against 40.6 TFLOPS on the RTX 3070. The same dense FP16 metric therefore favors the L40S by the ratio of 362.05 to 40.6. FP32 performance follows the same pattern with 91.6 TFLOPS versus 20.3 TFLOPS. These ratios indicate that training steps or inference batches complete in less wall-clock time on the L40S when the workload fits within the available memory. Memory bandwidth of 864 GB/s on the L40S versus 448 GB/s on the RTX 3070 directly influences sustainable batch sizes. Larger batches become feasible on the L40S because data movement keeps pace with the higher arithmetic rate. Sparse FP16 performance reaches 733 TFLOPS on the L40S and 81.3 TFLOPS on the RTX 3070. Comparison of sparse figures against sparse figures preserves the same relative ordering observed in the dense case.

The L40S suits workloads that require 48 GB of GDDR6 and dense FP16 throughput of 362.05 TFLOPS. Scientific computing tasks that scale with the 91.6 TFLOPS FP32 rating benefit from the additional capacity. Higher memory bandwidth of 864 GB/s supports larger intermediate tensors without frequent host transfers.

The RTX 3070 fits environments constrained to 220 W TDP and 8 GB GDDR6. Inference jobs that remain under the 40.6 TFLOPS dense FP16 limit run efficiently on this card. Lower power draw aligns with installations where total system energy must stay below thresholds set by the 350 W rating of the L40S.