RTX 4000 Ada vs RTX 5080

The FP32 rating of 56.3 TFLOPS on the RTX 5080 exceeds the 26.7 TFLOPS on the RTX 4000 Ada by a factor of approximately two. This difference affects compute intensive tasks where higher floating point operations per second allow faster processing. Memory bandwidth of 960 GB/s on the RTX 5080 compared to 360 GB/s on the RTX 4000 Ada supports larger batch sizes during operations. For tensor performance the RTX 5080 provides FP16 dense at 112.6 TFLOPS and FP16 with sparsity at 225.1 TFLOPS. The RTX 4000 Ada lists FP8 with sparsity at 427.6 TFLOPS while the RTX 5080 lists FP8 dense at 225.1 TFLOPS and FP8 with sparsity at 450.2 TFLOPS. Direct comparison of like figures shows the RTX 5080 ahead in dense FP8 and comparable in sparse FP8. The higher TDP of 360W on the RTX 5080 versus 130W on the RTX 4000 Ada indicates greater power draw for increased performance.

The RTX 4000 Ada suits scenarios that prioritize lower power consumption at 130W TDP. Its 20 GB VRAM exceeds the 16 GB on the RTX 5080 which benefits memory heavy workloads within power constraints. PCIe 4.0 interconnect matches many existing systems.

The RTX 5080 fits applications that require higher FP32 performance at 56.3 TFLOPS. Greater memory bandwidth at 960 GB/s enables improved data throughput compared to 360 GB/s. FP16 dense performance at 112.6 TFLOPS supports advanced tensor operations.