L4 vs RTX A6000

The FP16 dense figure of 121 TFLOPS on the L4 versus 154.8 TFLOPS on the RTX A6000 indicates the RTX A6000 can process larger matrix operations per second during training or inference passes. The FP16 with sparsity figure of 242 TFLOPS on the L4 versus 309.6 TFLOPS on the RTX A6000 maintains the same relative ordering when sparsity is applied. The FP32 value of 30.3 TFLOPS on the L4 versus 38.7 TFLOPS on the RTX A6000 produces an FP16 dense to FP32 ratio of approximately four times on both cards. Memory bandwidth of 300 GB/s on the L4 versus 768 GB/s on the RTX A6000 limits the L4 to smaller batch sizes before data transfer becomes the bottleneck. The 24 GB capacity on the L4 versus 48 GB on the RTX A6000 further restricts model size or batch scale on the L4 during memory intensive phases.

The L4 suits deployments where power draw must stay at 72W and where 24 GB VRAM meets model requirements. Scientific computing tasks that rely on 30.3 TFLOPS FP32 can operate under tight power or thermal constraints with the L4.

The RTX A6000 suits workloads that require 48 GB VRAM and 768 GB/s bandwidth to accommodate larger batches or bigger models. Training and fine tuning operations that scale with the 154.8 TFLOPS FP16 dense rating achieve higher throughput on the RTX A6000. Multi GPU setups can exploit NVLink on the RTX A6000 when interconnect speed beyond PCIe 4.0 becomes necessary.