A40 vs L40S

This gap accelerates matrix multiplications in training and inference workloads that rely on dense FP16 operations. The FP32 ratio of 91.6 TFLOPS to 37.4 TFLOPS further widens the advantage for the L40S in mixed precision pipelines. Memory bandwidth of 864 GB/s on the L40S compared to 696 GB/s on the A40 supports larger batch sizes during data movement heavy phases. Sparsity enabled FP16 performance reaches 733 TFLOPS on the L40S versus 299.4 TFLOPS on the A40. The 350W TDP on the L40S accompanies these gains over the 300W TDP on the A40. INT8 dense throughput of 733 TOPS on the L40S versus 299.3 TOPS on the A40 follows the same pattern for quantized inference paths.

The A40 suits deployments that utilize NVLink for multi GPU scaling at a 300W TDP rating. Workloads constrained by PCIe only interconnects and lower overall power budgets align with the A40 specifications.

The L40S fits scenarios that demand 362.05 TFLOPS dense FP16 and 864 GB/s bandwidth for reduced iteration times. Training and inference pipelines that scale with 91.6 TFLOPS FP32 benefit directly from the Ada Lovelace architecture at 350W TDP. Users prioritizing FP8 dense performance at 733 TFLOPS select the L40S over the A40.