随着集群规模扩大，网络带宽需求也在同步增长。2020年，数据中心带宽400G，2024年是800G，未来可能是1.6T。这些变化意味着AI基础设施的竞争正在从单纯算力扩展到更复杂的系统工程。GPU负责计算，电力决定数据中心规模，网络和光通信决定数据在系统中的流动速度。
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2026-03-03 00:00:00:0常 钦3014315910http://paper.people.com.cn/rmrb/pc/content/202603/03/content_30143159.htmlhttp://paper.people.com.cn/rmrb/pad/content/202603/03/content_30143159.html11921 以思维升级做好“农业+”（人民时评）。WPS官方版本下载对此有专业解读
X925’s frontend can sustain 10 instructions per cycle, but strangely has lower throughput when using 4 KB pages. Using 2 MB pages lets it achieve 10 instructions per cycle as long as the test fits within the 64 KB instruction cache. Cortex X925 can fuse NOP pairs into a single MOP, but that fusion doesn’t bring throughput above 10 instructions per cycle. Details aside, X925 has high per-cycle frontend throughput compared to its x86-64 peer, but slightly lower actual throughput when considering Zen 5 and Lion Cove’s much higher clock speed. With larger code footprints, Cortex X925 continues to perform well until test sizes exceed L2 capacity. Compared to X925, AMD’s Zen 5 relies on its op cache to deliver high throughput for a single thread.
Кадр: Алексей Щербаков / YouTube