RTX 4080 vs RTX 6000 Ada

The RTX 6000 Ada delivers 364 TFLOPS FP16 dense compared with 97.5 TFLOPS FP16 dense on the RTX 4080. The same card reaches 728 TFLOPS FP16 with sparsity against 195 TFLOPS FP16 with sparsity on the RTX 4080. FP32 figures scale at a ratio of 91.1 TFLOPS to 48.7 TFLOPS. Memory bandwidth of 960 GB/s versus 717 GB/s permits larger batch sizes during training or inference on the RTX 6000 Ada. The 48 GB capacity versus 16 GB capacity further supports models that exceed the smaller buffer. These ratios remain consistent when dense figures are compared only with other dense figures and sparse figures only with other sparse figures.

The RTX 4080 suits workloads that fit within 16 GB and do not require the highest tensor throughput. Its 97.5 TFLOPS FP16 dense rating handles moderate inference or fine tuning tasks where the 48 GB buffer of the alternative card remains unused. The 320 W TDP stays acceptable when power limits favor the lower capacity card.

The RTX 6000 Ada fits training or inference jobs that need 48 GB and 364 TFLOPS FP16 dense. Its 960 GB/s bandwidth supports larger batches than the 717 GB/s available on the RTX 4080. The 300 W TDP accompanies these higher numbers for sustained scientific computing or large model serving.