L40S vs RTX 5060

The L40S provides FP16 dense performance of 362.05 TFLOPS compared to the RTX 5060 where FP16 figures remain not published by vendor. This gap in dense FP16 means the L40S supports larger batch sizes during training and inference workloads that rely on half precision. The L40S also lists FP8 dense performance of 733 TFLOPS against the RTX 5060 FP4 with sparsity performance of 614 TFLOPS so direct ratios require matching sparsity modes. Memory bandwidth of 864 GB/s on the L40S versus 448 GB/s on the RTX 5060 allows the L40S to sustain higher data throughput for operations that move large tensors between memory and compute units.

The L40S suits workloads that require 48 GB GDDR6 VRAM for models exceeding 16 GB capacity. Its FP32 performance of 91.6 TFLOPS and memory bandwidth of 864 GB/s support scientific computing tasks that process large datasets without frequent host transfers. The 350W TDP remains acceptable in data center deployments where sustained dense FP16 performance of 362.05 TFLOPS accelerates training iterations.

The RTX 5060 fits scenarios that prioritize 145W TDP and PCIe 5.0 interconnect over raw capacity. Its FP32 performance of 19.2 TFLOPS combined with Blackwell architecture suits lighter inference tasks where 8-16 GB GDDR7 VRAM suffices. The FP4 with sparsity performance of 614 TFLOPS offers an option for quantized workloads that benefit from lower power draw.