A100 SXM4 80GB vs L40S

The FP16 dense performance measures 312 TFLOPS on the A100 and 362.05 TFLOPS on the L40S. The FP16 performance with sparsity reaches 624 TFLOPS on the A100 and 733 TFLOPS on the L40S. This delta indicates that the L40S delivers higher throughput for both dense and sparse FP16 operations in inference and training scenarios. Memory bandwidth of 2039 GB/s on the A100 supports larger batch sizes compared to 864 GB/s on the L40S during memory intensive operations. FP32 performance stands at 19.5 TFLOPS for the A100 and 91.6 TFLOPS for the L40S. The higher FP32 figure on the L40S benefits applications that rely on single precision computations. The 80 GB memory on the A100 allows for larger models without partitioning while the 48 GB on the L40S constrains model size in certain cases.

The A100 SXM4 80GB suits scenarios that require 80 GB HBM2e memory and NVLink interconnect for multi GPU scaling. Workloads such as large scale scientific computing benefit from the 2039 GB/s memory bandwidth and 400W TDP configuration.

The L40S fits environments that prioritize 91.6 TFLOPS FP32 performance and 350W TDP within a PCIe form factor. Inference tasks gain from the 362.05 TFLOPS dense FP16 rating in single GPU setups.