AMD MI250X 128GB vs AMD Instinct MI210 PCIe

The Instinct MI210 is the newer part: CDNA 2, launched in 2022, against the MI250X's CDNA 2 from 2021. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.

Dense throughput for the MI250X against the Instinct MI210: FP64 48 vs 23 TFLOPS, FP32 48 vs 23 TFLOPS, FP16 383 vs 181 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.

Memory is 128 GB against 64 GB, fed at 3.3 TB/s versus 1.6 TB/s. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.

Power budgets are 560 W for the MI250X and 300 W for the Instinct MI210. At FP32 that works out to 0.09 against 0.08 TFLOPS per watt.

For LLM training and inference, weight the FP8 and FP16 rows and memory capacity most heavily. For scientific and HPC workloads, the FP64 row is the one to read.