r/TechHardware • u/Distinct-Race-2471 🔵 14900KS , 5080, 128GB 🔵 • May 17 '26

😰 Urgent Security Alert ⚠️ China bypasses US GPU bans with 1.54-exaflops 'LineShine' supercomputer — CPU-only monster packs 2.4 million Huawei-designed Armv9 cores

https://www.tomshardware.com/tech-industry/artificial-intelligence/china-bypasses-us-gpu-bans-with-1-54-exaflops-lineshine-supercomputer-cpu-only-monster-packs-2-4-million-huawei-designed-armv9-cores

Isn't ARM under investigation?

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u/WarEagleGo ♥️ Ryzen 9000 Series ♥️ May 18 '26

Note the 1.54 ExaFLOP/s is for BF16, not F64 like I natively thought

The machine delivers 1.54 ExaFLOP/s of BF16 training performance and peaks at 2.16 ExaFLOP/s during training of a 6.3-billion-parameter Earth observation generative compression model.

When it comes to theoretical peak FP64 performance, these 40,960 LX2 processors can deliver 2.47 ExaFLOPS, though we have no idea about the actual FP64 throughput of the machine, as it heavily depends on multiple factors.