L40S vs RTX 3060

The FP32 performance of 91.6 TFLOPS on the L40S exceeds the 12.7 TFLOPS on the RTX 3060 by a factor of seven and this gap directly influences training throughput for models that rely on single precision arithmetic. Memory bandwidth of 864 GB/s on the L40S versus 360 GB/s on the RTX 3060 permits larger batch sizes during both training and inference without hitting memory transfer limits. The L40S reports dense FP16 performance at 362.05 TFLOPS and FP16 with sparsity at 733 TFLOPS while the RTX 3060 lists no FP16 figures and this absence restricts direct comparison to the published dense FP32 values alone.

The L40S suits scenarios that require 48 GB GDDR6 memory and 864 GB/s bandwidth such as handling large language models or scientific simulations that exceed the 8-12 GB capacity of the RTX 3060. Its 91.6 TFLOPS FP32 rating and support for dense FP16 at 362.05 TFLOPS further favor it when workloads demand high throughput in data center PCIe form factors.

The RTX 3060 fits tasks constrained by a 170W TDP and lower memory needs where 8-12 GB GDDR6 suffices and the 12.7 TFLOPS FP32 rating meets basic inference or rendering demands without the 350W power draw of the L40S.