Qualcomm AI200 vs Qualcomm AI250

The AI250 is the newer part: Dragonfly, launched in 2027, against the AI200's Dragonfly from 2026. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.

Memory is 768 GB against 768 GB. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.

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.