MI250X vs RTX 3090

Dense FP16 performance on the MI250X reaches 383 TFLOPS while the RTX 3090 reaches 71 TFLOPS in the same dense mode. This difference indicates the MI250X can process larger matrix operations per cycle during training steps that rely on dense FP16 arithmetic. The RTX 3090 dense FP16 figure of 71 TFLOPS contrasts with its sparse FP16 figure of 142 TFLOPS yet remains lower than the MI250X dense value. Memory bandwidth of 3277 GB/s on the MI250X versus 936 GB/s on the RTX 3090 allows the MI250X to sustain larger batch sizes before memory stalls occur. FP32 ratios follow the same pattern with 47.9 TFLOPS on the MI250X exceeding 35.6 TFLOPS on the RTX 3090 and thereby favoring the MI250X for precision sensitive kernels that stay in dense mode.

The MI250X suits workloads that demand 128 GB HBM2e capacity and 3277 GB/s bandwidth for models exceeding the 24 GB limit of the RTX 3090. Its 383 TFLOPS dense FP16 rating and Infinity Fabric interconnect support distributed training runs that scale across multiple OAM modules at 560W TDP.

The RTX 3090 fits inference or fine tuning tasks where 350W TDP and PCIe form factor reduce infrastructure demands. Its 24 GB GDDR6X memory and 142 TFLOPS sparse FP16 rating handle moderate batch sizes on single cards with NVLink options for limited scaling.