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English(EN) The world’s first 1PB SSD could become a reality sooner than many people expect. Kioxia and Sandisk have demonstrated next-generation QLC NAND with 2Tb per die

Kioxia、SanDisk推进QLC NAND,预示1PB SSD的实现路径

Kioxia和SanDisk已展示了每die 2Tb、密度为37.6 Gb/mm²的新型QLC NAND技术,为未来1PB SSD铺平了道路。虽然底层NAND技术正在快速发展,但在封装、控制器设计、功耗和数据可靠性方面仍存在重大挑战,才能实现如此巨大的容量。这一发展得益于AI和云工作负载对更密集存储日益增长的需求。 AI

影响 NAND密度的进步对于支持AI和云计算工作负载的海量数据存储需求至关重要。

排序理由 主要制造商展示了下一代NAND技术。

在 Mastodon — fosstodon.org 阅读 →

AI 生成摘要 · Google Gemini · 来自 4 个来源。 我们如何撰写摘要 →

Kioxia、SanDisk推进QLC NAND,预示1PB SSD的实现路径

报道来源 [4]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    铠侠和闪迪的 332 层 BiCS10 QLC NAND 更像是路线图信号而非 SSD 发布,但它预示着未来更密集的人工智能和云存储。#科技#

    Kioxia and Sandisk's 332-layer BiCS10 QLC NAND is more of a roadmap signal than an SSD launch, but it points to much denser AI and cloud storage ahead. # tech # technology # nand # storage # datacenter # ai https:// techshowup.com/News/Article/01 a0202f-a6ff-787a-ae9b-15ef2b124e4…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    全球首款1PB SSD可能比许多人预期的要早实现。Kioxia和Sandisk展示了每die 2Tb的下一代QLC NAND

    The world’s first 1PB SSD could become a reality sooner than many people expect. Kioxia and Sandisk have demonstrated next-generation QLC NAND with 2Tb per die and extremely high areal density. With enough NAND dies, the technology could theoretically enable a single SSD with aro…

  3. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    全球首款1PB SSD可能比听起来更近。Kioxia和Sandisk最新的QLC NAND每die达到2Tb,密度达到37.6 Gb/mm²,使大约1PB的S

    The world’s first 1PB SSD may be closer than it sounds. Kioxia and Sandisk’s latest QLC NAND reaches 2Tb per die and 37.6 Gb/mm² density, making a roughly 1PB SSD technically achievable with about 4,096 dies. But the NAND is only part of the challenge. Packaging, controllers, the…

  4. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    AI代理可以通过代码执行、工具调用、数据库搜索和编排产生显著的CPU负载。但这并不一定意味着数据

    AI agents can create significant CPU workloads through code execution, tool calls, database searches, and orchestration. But that doesn’t necessarily mean data centers need a 1:1 CPU-to-GPU ratio. The key issue is workload variability. Instead of counting CPUs versus GPUs, infras…