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English(EN) Dell Shares AI Advances And New Metrics To Evaluate Infrastructure

戴尔推出新的人工智能基础设施指标和数据引擎

戴尔科技公司正在推出新的指标“token生成时间”(time to token)和“每个token成本”(cost per token),以更好地评估人工智能基础设施的投资。这些指标旨在将基础设施决策与实际成果联系起来,特别是对于要求苛刻的代理式人工智能系统。该公司还为其AI数据平台公布了一个新的数据编排引擎,旨在加速企业数据与AI模型和代理的连接,并有望在索引、查询和处理速度方面实现显著的性能提升。 AI

影响 新的指标和数据编排工具旨在简化企业的AI采用,并提高AI工作负载的成本效益。

排序理由 公司宣布了新的人工智能基础设施产品功能和评估指标。[lever_c_demoted from significant: ic=1 ai=0.7]

在 Forbes — Innovation 阅读 →

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

戴尔推出新的人工智能基础设施指标和数据引擎

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Research
公司宣布了新的人工智能基础设施产品功能和评估指标。[lever_c_demoted from significant: ic=1 ai=0.7]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
142 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. Forbes — Innovation TIER_1 English(EN) · Maribel Lopez, Senior Contributor ·

    Dell 披露人工智能进展及评估基础设施的新指标

    Dell Technologies World 2026 keynote: why time to token and cost per token are now the essential metrics for enterprise AI infrastructure decisions.