RTX 4090 vs TITAN V

The dense FP16 performance of 165.2 TFLOPS on the RTX 4090 exceeds the dense FP16 performance of 110 TFLOPS on the TITAN V by a factor derived directly from these figures. This gap influences training and inference durations because higher dense FP16 throughput supports faster matrix operations in both phases. The FP32 rating of 82.6 TFLOPS on the RTX 4090 likewise surpasses the 14.9 TFLOPS on the TITAN V and affects precision sensitive computations. Memory bandwidth of 1008 GB/s on the RTX 4090 compared with 653 GB/s on the TITAN V permits larger batch sizes during data movement between memory and compute units. The 24 GB VRAM capacity on the RTX 4090 versus 12 GB on the TITAN V further extends the feasible model scale before swapping occurs. All tensor comparisons remain within dense categories to maintain consistency across the two GPUs.

The RTX 4090 suits workloads that demand the 24 GB VRAM capacity and 1008 GB/s bandwidth for handling larger datasets in a single pass. Its 165.2 TFLOPS dense FP16 rating accelerates operations where the higher TDP of 450W remains acceptable within the power budget.

The TITAN V fits environments constrained to the 250W TDP limit and where the 12 GB HBM2 configuration meets the required scale. Its PCIe 3.0 interconnect aligns with legacy systems that do not support newer interfaces.