MI250X vs Quadro P5000

The MI250X delivers FP16 dense performance at 383 TFLOPS while the Quadro P5000 provides no published FP16 figure. FP32 performance reaches 47.9 TFLOPS dense on the MI250X against 8.9 TFLOPS on the Quadro P5000. This FP16 dense to FP32 ratio on the MI250X equals 383 TFLOPS dense divided by 47.9 TFLOPS. The higher memory bandwidth of 3277 GB/s on the MI250X supports larger batch sizes during training and inference compared with 288 GB/s on the Quadro P5000. INT8 dense performance on the MI250X measures 383 TOPS. These differences translate to greater capacity for parallel tensor operations on the MI250X in workloads that fit within its 128 GB VRAM.

The MI250X suits scenarios that require 128 GB HBM2e VRAM and 3277 GB/s memory bandwidth. Workloads that utilize 383 TFLOPS dense FP16 or 47.9 TFLOPS FP32 benefit from its specifications over the Quadro P5000. Infinity Fabric interconnect further supports multi GPU scaling in large scale deployments.

The Quadro P5000 fits environments limited to 180W TDP and PCIe form factor constraints. Systems that operate under PCIe 3.0 interconnect and require only 8.9 TFLOPS FP32 align with its specifications. Lower power draw makes it appropriate for compact or legacy server setups.