L40S vs Quadro P4000

The L40S delivers FP16 dense performance of 362.05 TFLOPS while the Quadro P4000 lists no FP16 figure. FP32 performance on the L40S reaches 91.6 TFLOPS against 5.3 TFLOPS on the Quadro P4000. The FP16 dense to FP32 ratio on the L40S equals 362.05 divided by 91.6. This ratio indicates the L40S can handle mixed precision workloads where FP16 dense operations accelerate training and inference relative to FP32 alone. Memory bandwidth of 864 GB/s on the L40S versus 243 GB/s on the Quadro P4000 supports larger batch sizes during model execution. FP8 dense performance of 733 TFLOPS on the L40S further widens the gap for low precision inference tasks.

The L40S suits workloads that require 48 GB GDDR6 VRAM and 864 GB/s bandwidth. Tasks such as large model training benefit from FP16 dense performance of 362.05 TFLOPS and FP32 performance of 91.6 TFLOPS. The 350W TDP remains acceptable when maximum throughput takes priority over power limits.

The Quadro P4000 fits environments constrained to 105W TDP and 8 GB GDDR5 VRAM. Legacy systems that operate only on PCIe 3.0 interconnect gain compatibility without requiring architecture updates. FP32 performance of 5.3 TFLOPS covers basic rendering or light compute needs.