L4 vs RTX 3080

Dense FP16 performance measures 121 TFLOPS on the L4 against 59.5 TFLOPS on the RTX 3080 while sparse FP16 performance measures 242 TFLOPS on the L4 against 119 TFLOPS on the RTX 3080. The higher dense FP16 figure on the L4 supports faster matrix operations during inference passes compared to the RTX 3080. FP32 figures remain close at 30.3 TFLOPS versus 29.8 TFLOPS so training loops that rely on single precision see limited gains from either card. Memory bandwidth of 760 GB/s on the RTX 3080 allows larger batch sizes in bandwidth bound kernels than the 300 GB/s on the L4. INT8 dense performance sits at 242 TOPS on the L4 and 238 TOPS on the RTX 3080 so quantized inference workloads show similar throughput before sparsity factors apply.

The L4 suits inference deployments that require 24 GB memory capacity and 72W TDP. Its dense FP16 rating of 121 TFLOPS exceeds the RTX 3080 rating of 59.5 TFLOPS so models that fit in the extra memory complete forward passes with lower power draw in data center racks.

Its sparse INT8 rating of 476 TOPS supports certain quantized tasks where the L4 sparse INT8 rating of 485 TOPS offers only marginal difference yet bandwidth constraints on the L4 limit throughput.