L4 vs RTX 2080

Dense FP16 performance reaches 121 TFLOPS on the L4 and 40.3 TFLOPS on the RTX 2080. With sparsity the L4 reaches 242 TFLOPS FP16. The FP16 to FP32 ratio stands at approximately four times on the L4 and four times on the RTX 2080. Higher dense FP16 throughput on the L4 supports larger batch sizes during inference while the RTX 2080 bandwidth of 448 GB/s versus 300 GB/s on the L4 may constrain batch sizes less in memory bound scenarios despite lower VRAM capacity. INT8 dense performance measures 242 TOPS on the L4 and 161.1 TOPS on the RTX 2080. Lower TDP of 72W on the L4 compared with 215W on the RTX 2080 reduces sustained power requirements for extended training or inference sessions.

The L4 suits inference workloads that require 24 GB GDDR6 VRAM and 121 TFLOPS dense FP16. Its 72W TDP enables deployment in power constrained servers where the RTX 2080 215W TDP would exceed limits. PCIe 4.0 interconnect further supports the L4 in modern systems handling FP8 dense workloads at 242 TFLOPS.

The RTX 2080 fits tasks where 448 GB/s memory bandwidth exceeds the L4 300 GB/s value and where 8-11 GB GDDR6 suffices. Its 10 TFLOPS FP32 and 40.3 TFLOPS dense FP16 remain adequate for lighter scientific computing that does not demand the L4 30.3 TFLOPS FP32 or 121 TFLOPS dense FP16.