Embedded.com · 6h ago
Embedded.com · 6小时前
Renesas launched its third-generation DDR5 MRDIMM chipset, including the RRG5013 MRCD and RRG5103 MDB, for server modules rated up to 16,000 MT/s. Faster multiplexed-rank memory is aimed at the bandwidth pressure of AI and cloud servers, where CPU and accelerator utilization increasingly depends on feeding data quickly enough.
瑞萨推出第三代DDR5 MRDIMM芯片组,包括RRG5013 MRCD和RRG5103 MDB,支持最高16,000 MT/s的服务器模块。更快的多路复用Rank内存瞄准AI和云服务器的带宽压力,因为CPU和加速器的利用率越来越取决于数据供给速度。
Wccftech · 7h ago
Wccftech · 7小时前
Memory suppliers are preparing third-generation DDR5 MRDIMMs above 16,000 MT/s, with a stated eventual target of 17,600 MT/s; first-generation parts began above 8,000 MT/s. The roadmap underscores that server-memory bandwidth is being upgraded alongside AI processors, rather than treated as a secondary platform specification.
存储厂商正准备速度超过16,000 MT/s的第三代DDR5 MRDIMM,并将最终目标定为17,600 MT/s;第一代产品起步速度已超过8,000 MT/s。该路线图表明,服务器内存带宽正在与AI处理器同步升级,而不再只是平台的次要规格。
The Register (Systems) · 6h ago
The Register (Systems) · 6小时前
A storage-inspired high-bandwidth flash concept is being positioned as a way to give GPUs capacities in the multi-terabyte range while seeking speeds closer to HBM. The proposal is not a replacement for deployed HBM today, but it highlights how memory capacity and bandwidth are becoming a first-order limiter for larger AI models.
一种受存储技术启发的高带宽闪存方案被定位为可将GPU容量提升至多TB级,并争取接近HBM的速度。它并非当下已部署HBM的替代品,但凸显出内存容量和带宽正在成为更大AI模型的一阶限制因素。