L40 vs RTX A6000

The FP16 dense figure of 181.05 TFLOPS on the L40 exceeds the 154.8 TFLOPS dense FP16 on the RTX A6000 by a ratio of 1.17 to 1 while the FP16 with sparsity on the L40 at 362.1 TFLOPS exceeds the 309.6 TFLOPS with sparsity on the RTX A6000 by the same ratio. This delta means the L40 completes FP16 training and inference steps faster than the RTX A6000 when both operate in dense mode or when both operate with sparsity. The FP32 performance of 90.5 TFLOPS on the L40 compared with 38.7 TFLOPS on the RTX A6000 indicates the L40 handles precision sensitive scientific workloads more than twice as fast. Memory bandwidth of 864 GB/s on the L40 versus 768 GB/s on the RTX A6000 permits larger batch sizes during training before memory capacity limits are reached.

The L40 suits FP16 dense workloads that require 181.05 TFLOPS and FP8 dense workloads that require 362 TFLOPS. Its 90.5 TFLOPS FP32 rating supports precision heavy scientific computing tasks that exceed the 38.7 TFLOPS FP32 rating of the RTX A6000. The 864 GB/s bandwidth further enables larger batches than the 768 GB/s bandwidth allows.

The RTX A6000 suits multi GPU configurations that require NVLink interconnect alongside PCIe 4.0. Its INT8 with sparsity rating of 619.4 TOPS remains adequate for inference tasks that do not demand the 724 TOPS INT8 with sparsity available on the L40.