MI355X vs RTX 4090

Dense FP16 performance reaches 2500 TFLOPS on the MI355X against 165.2 TFLOPS on the RTX 4090. This ratio indicates the MI355X processes matrix operations in training workloads at over fifteen times the rate of the RTX 4090 when both operate in dense mode. FP32 figures of 157.3 TFLOPS versus 82.6 TFLOPS further separate the devices for precision sensitive scientific tasks. Memory bandwidth of 8000 GB/s on the MI355X versus 1008 GB/s on the RTX 4090 permits substantially larger batch sizes during inference without swapping to host memory. With sparsity the MI355X attains 5000 TFLOPS in FP16 while the RTX 4090 attains 330.4 TFLOPS in FP16. The same pattern holds for FP8 where dense performance measures 5000 TFLOPS on the MI355X and 330.3 TFLOPS on the RTX 4090.

The MI355X suits workloads that require 288 GB HBM3e capacity and 8000 GB/s bandwidth to hold models exceeding the 24 GB limit of the RTX 4090. Its 2500 TFLOPS dense FP16 rating accelerates large scale training sessions where the 1400W TDP remains acceptable within rack power budgets.

The RTX 4090 fits deployments constrained to 450W TDP and PCIe form factor where 165.2 TFLOPS dense FP16 suffices for smaller models. Its 24 GB GDDR6X configuration supports consumer inference pipelines that do not exceed memory limits of individual requests.