One of the criticisms about AI generated code is that it “just regurgitates everything on GitHub” but by construction, if the code is faster than what currently exists, then it can’t have been stolen and must be an original approach. Even if the explicit agentic nature of rustlearn makes it risky to adopt downstream, the learnings from how it accomplishes its extreme speed are still valuable.
彼时,新兴技术正从边缘切入,重构存储生态。比如MRAM(磁阻存储器)兼具SRAM速度、DRAM密度与Flash非易失性,已在车规级MCU、工业控制器中商用,三星、台积电、英特尔等均在持续推进该技术进展。ReRAM(阻变存储器)单元面积小,读写速度是NAND的1000倍,同时功耗可以降低15倍。CXL(Compute Express Link)虽非存储介质,却是内存池化的关键。通过CXL,服务器可将多个DRAM/HBM模块虚拟为统一内存池,大幅提升AI训练效率。Intel、AMD、三星正推动其成为下一代数据中心标配。不过,新兴存储并非要“取代”DRAM或NAND,而是填补其无法覆盖的“价值缝隙”。未来将是“传统+新兴”的分层共存格局。
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