MI250X vs RTX 4080

The MI250X supplies 383 TFLOPS of dense FP16 performance against the RTX 4080 dense FP16 figure of 97.5 TFLOPS creating a ratio of nearly four times greater throughput for dense operations. This delta allows the MI250X to process larger batch sizes during training and inference when memory bandwidth of 3277 GB/s supports data movement at a rate 4.57 times higher than the 717 GB/s of the RTX 4080. The FP32 figures remain close at 47.9 TFLOPS for the MI250X and 48.7 TFLOPS for the RTX 4080 indicating similar dense single precision capability. The RTX 4080 dense INT8 rating of 389.9 TOPS exceeds the MI250X dense INT8 rating of 383 TOPS by a small margin yet the MI250X memory capacity of 128 GB enables models that exceed the 16 GB limit of the RTX 4080.

The MI250X suits scenarios that require 128 GB of memory and 3277 GB/s bandwidth for large scale scientific computing or LLM training. Its 383 TFLOPS dense FP16 rating and Infinity Fabric interconnect support distributed workloads that exceed the capacity of a single 16 GB card.

The RTX 4080 fits deployments constrained to 320W TDP and PCIe form factor where 97.5 TFLOPS dense FP16 performance suffices for inference or fine tuning of models that fit within 16 GB. Its 48.7 TFLOPS FP32 rating remains comparable to the MI250X for precision sensitive tasks that do not demand high memory bandwidth.