RTX 3080 vs RTX 4060

The FP32 performance of the RTX 3080 at 29.8 TFLOPS exceeds that of the RTX 4060 at 15.1 TFLOPS. This difference affects training and inference speeds in workloads that rely on single precision calculations. Memory bandwidth of 760 GB/s on the RTX 3080 supports larger batch sizes compared to 272 GB/s on the RTX 4060. The RTX 3080 TDP of 320 W contrasts with the 115 W TDP of the RTX 4060. This power difference influences operational costs in sustained runs. No FP16 figure exists for the RTX 4060 so direct dense FP16 comparisons remain unavailable. The RTX 3080 lists dense FP16 at 59.5 TFLOPS and FP16 with sparsity at 119 TFLOPS while the RTX 4060 lists FP8 with sparsity at 242 TFLOPS.

The RTX 3080 suits workloads that require the 29.8 TFLOPS FP32 throughput and 760 GB/s memory bandwidth. Scientific computing tasks gain from these higher figures relative to the RTX 4060 specifications. The 10 to 12 GB VRAM capacity further supports memory intensive operations on the RTX 3080.

The RTX 4060 fits environments where the 115 W TDP matters more than peak throughput. Newer Ada Lovelace architecture in 2023 pairs with this lower power draw compared to the 320 W TDP of the RTX 3080. The 8 to 16 GB VRAM range offers flexibility in compact deployments.