RTX 3090 vs RTX A4500

Dense FP16 performance measures 35.6 TFLOPS on the RTX 3090 against 19.2 TFLOPS dense FP16 on the RTX A4500. The same numbers apply to dense FP32 performance. This gap indicates the RTX 3090 variant completes roughly 1.85 times more dense tensor operations per second than the RTX A4500 variant during training runs or inference passes that stay within dense precision. Memory bandwidth of 936 GB/s on the RTX 3090 family versus 448 GB/s on the RTX A4500 family supports larger batch sizes before data movement limits throughput. The 350W TDP of the RTX 3090 family compared with the 140W TDP of the RTX A4500 family requires different cooling and power delivery provisions in the same server chassis. Both variants share the Ampere architecture yet the higher dense FP16 figure and bandwidth on the RTX 3090 family translate to faster iteration times on memory intensive models when power constraints allow.

The RTX 3090 variant with 24 GB GDDR6X and NVLink suits multi GPU setups that need the 936 GB/s bandwidth to feed 35.6 TFLOPS dense FP16 workloads. Training sessions that exceed 20 GB model states benefit directly from the extra 4 GB capacity on this variant. Inference pipelines that process large context windows gain from the combination of 24 GB memory and 936 GB/s bandwidth without requiring additional interconnect hardware beyond NVLink.

The RTX A4500 variant with 20 GB GDDR6 and 140W TDP fits deployments where power limits cap total system draw below 350W per card. Workloads that fit inside 20 GB and run at 19.2 TFLOPS dense FP16 avoid the thermal overhead of the higher TDP option. Single GPU inference tasks that prioritize lower heat output over peak bandwidth select the RTX A4500 variant for its 448 GB/s memory system.