Ozaki Emulation Hits FP64 Reality Check

🔥 What happened AMD and HPC analysts are pushing back on Ozaki emulation as a native FP64 replacement. The trick splits double-precision math into many low-precision operations – and often chokes on memory and overhead. 💡 Why it matters A 4,096 matrix needs 3.21x more memory under emulation: 1.2 GB instead of 384 MB. At 32,768, it's 76 GB versus 24 GB. Teams sharing AI accelerators for science pay in bandwidth and energy, not just FLOPs. ⚡ Our take Ozaki is no free pass to FP64 on AI chips. Benchmark your solver's memory pressure first – otherwise the throughput win becomes an expensive detour.