RTX 3080 vs RTX 4500 Ada

FP32 throughput on the RTX 4500 Ada reaches 39.6 TFLOPS while the RTX 3080 reaches 29.8 TFLOPS. The RTX 3080 further records FP16 dense performance at 59.5 TFLOPS which equals exactly twice its FP32 value. Absence of published FP16 data for the RTX 4500 Ada prevents direct dense FP16 comparison between the cards. Memory bandwidth of 760 GB/s on the RTX 3080 exceeds 432 GB/s on the RTX 4500 Ada by a ratio of 1.76 to 1. This bandwidth difference limits maximum batch size on the RTX 4500 Ada even though its 24 GB VRAM exceeds the 10 to 12 GB capacity of the RTX 3080. Lower TDP of 210 W on the RTX 4500 Ada versus 320 W on the RTX 3080 reduces sustained power draw during extended FP32 workloads.

The RTX 3080 suits workloads that require 760 GB/s memory bandwidth to maintain large batch sizes. Its published FP16 dense figure of 59.5 TFLOPS also supports training tasks where the 320 W TDP remains acceptable. The card therefore fits environments that prioritize bandwidth over VRAM capacity.

The RTX 4500 Ada suits workloads that require 24 GB VRAM together with 39.6 TFLOPS FP32 performance at 210 W TDP. Its FP8 with sparsity rating of 634 TFLOPS further supports inference pipelines that can utilize the newer architecture. The card therefore fits power constrained deployments that need higher memory capacity.