L40S vs MI250X

Dense FP16 performance stands at 362.05 TFLOPS for the L40S and 383 TFLOPS for the MI250X so the MI250X holds a modest edge in dense FP16 throughput. The L40S FP32 rating of 91.6 TFLOPS exceeds the MI250X rating of 47.9 TFLOPS by a factor derived directly from these figures which favors the L40S for workloads that rely on single precision arithmetic. Memory bandwidth of 3277 GB/s on the MI250X versus 864 GB/s on the L40S permits larger batch sizes during training or inference sessions that process extensive model states. The L40S further lists FP16 with sparsity at 733 TFLOPS while the MI250X provides no sparsity figure so only dense FP16 values permit direct ratio comparison between the two GPUs.

The L40S fits environments that prioritize 91.6 TFLOPS FP32 performance and a 350W TDP limit within PCIe slots. Its 48 GB GDDR6 configuration combined with sparsity options for FP16 at 733 TFLOPS supports inference pipelines that benefit from lower power draw and standard server integration.

The MI250X suits applications that demand 128 GB HBM2e capacity and 3277 GB/s bandwidth to accommodate large model footprints. Its 383 TFLOPS dense FP16 rating and Infinity Fabric interconnect enable scaling across multiple OAM modules for memory bound training sessions.