L4 vs Quadro P5000

FP32 throughput on the L4 reaches 30.3 TFLOPS compared to 8.9 TFLOPS on the Quadro P5000. This delta allows the L4 to complete matrix operations more than three times faster in single precision workloads. The L4 further supplies FP16 dense performance at 121 TFLOPS and FP16 with sparsity at 242 TFLOPS. Memory bandwidth of 300 GB/s on the L4 versus 288 GB/s on the Quadro P5000 supports modestly larger batch sizes during data movement. The 24 GB GDDR6 capacity on the L4 versus 16 GB GDDR5X on the Quadro P5000 permits handling of larger models without swapping. Power efficiency favors the L4 at 72W over the 180W TDP of the Quadro P5000 for sustained runs.

The L4 suits LLM inference and fine tuning tasks that require FP16 dense performance at 121 TFLOPS or FP8 dense performance at 242 TFLOPS. Its 24 GB VRAM and 72W TDP enable deployment in power constrained cloud nodes while supporting larger context windows than the 16 GB limit of the Quadro P5000. PCIe 4.0 interconnect further reduces data transfer latency in multi GPU setups.

The Quadro P5000 fits scientific computing workloads that rely solely on its published FP32 rating of 8.9 TFLOPS and do not require tensor formats. Its Pascal architecture may align with older software stacks that lack optimization for Ada Lovelace features. In such cases the 16 GB GDDR5X configuration remains adequate for smaller datasets.