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English(EN) As AI Increases Demands on Memory, Storage Steps Up

NVIDIA通过Vera CPU和开放的cuFile API推动AI存储发展

为了满足大型数据集和上下文窗口日益增长的需求,NVIDIA正在推进AI存储基础设施的建设。该公司正在推出新的存储解决方案,包括NVIDIA Vera CPU,与传统的x86处理器相比,它在数据压缩和加密方面提供了显著更高的吞吐量。NVIDIA还将其cuFile API开源,使GPU能够直接与存储交互,并将数据访问速度提高到微秒级别。这些努力是Storage-Next计划的一部分,旨在为GPU驱动的存储建立开放的行业标准,并提高AI数据管道的效率和安全性。 AI

影响 通过实现GPU与存储的直接交互和提高数据吞吐量,加速AI数据处理。

排序理由 NVIDIA宣布了AI存储基础设施的新硬件和软件组件。

在 NVIDIA Blog 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

NVIDIA通过Vera CPU和开放的cuFile API推动AI存储发展

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NVIDIA宣布了AI存储基础设施的新硬件和软件组件。
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报道来源 [1]

  1. NVIDIA Blog TIER_1 English(EN) · Jason Hardy ·

    随着人工智能对内存需求增加,存储也在升级

    Surging AI demands are driving the need for massive datasets and context windows that burst past the confines of system memory. But rising needs aren’t met by simply adding more storage capacity. What’s needed is useful, grounded insights from AI factories and efficient, secure s…