L40S vs RTX 4060

The L40S supplies 362.05 TFLOPS of dense FP16 performance and 91.6 TFLOPS of FP32 performance. The RTX 4060 supplies 15.1 TFLOPS of FP32 performance. The FP16 to FP32 ratio on the L40S reaches approximately four times the FP32 rate when dense FP16 is applied to training or inference tasks. Memory bandwidth of 864 GB/s on the L40S versus 272 GB/s on the RTX 4060 directly limits sustainable batch sizes during large model operations. The L40S also provides 733 TFLOPS of dense FP8 performance and 1466 TFLOPS of FP8 performance with sparsity while the RTX 4060 provides 242 TFLOPS of FP8 performance with sparsity. Sparse to sparse comparison shows the L40S FP8 figure exceeds the RTX 4060 figure by a factor derived solely from the listed values.

The L40S suits LLM training and fine tuning jobs that require 48 GB of GDDR6 memory to hold large parameter sets. Its 864 GB/s memory bandwidth supports larger batch sizes than the 272 GB/s available on the RTX 4060. The 350 W TDP accommodates sustained high intensity compute sessions where the 91.6 TFLOPS FP32 rating accelerates scientific computing workloads.

The RTX 4060 suits Stable Diffusion tasks and lighter LLM inference where 8 GB to 16 GB of GDDR6 memory meets model size needs. Its 115 W TDP enables deployment in power constrained environments that cannot accommodate the 350 W TDP of the L40S. The 15.1 TFLOPS FP32 rating handles smaller scale workloads without excess power draw.