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English(EN) Local tasks use PPLX Pro, our post-trained version of Qwen 3.8, and don't consume Computer credits.

Perplexity 发布支持本地 AI 模型功能的 Mac 应用

Perplexity 发布了一款新的 Mac 应用程序,为其 Pro、Max 和 Enterprise 订阅用户提供本地 AI 模型功能。该应用程序使用 PPLX Pro(Qwen 3.8 的微调版本)来处理本地任务,这些任务不消耗计算积分。还提供混合模式,通过在本地模型和云模型之间分割任务,允许敏感数据保持私密。 AI

影响 支持在 Mac 上进行本地 AI 处理,增强了隐私性,并可能降低用户的云成本。

排序理由 AI 公司发布新应用程序的产品发布。

在 X — Perplexity 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

Perplexity 发布支持本地 AI 模型功能的 Mac 应用

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
Tool
AI 公司发布新应用程序的产品发布。
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
product, model release
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
3 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 [2]

  1. X — Perplexity TIER_1 English(EN) · perplexity_ai ·

    Available now to Pro, Max, and Enterprise subscribers on supported Apple silicon Macs. 36 GB of unified memory is recommended.

    Available now to Pro, Max, and Enterprise subscribers on supported Apple silicon Macs. 36 GB of unified memory is recommended. Download the Perplexity Mac app and set up a local model to get started. https://t.co/JYAdW5K59d

  2. X — Perplexity TIER_1 English(EN) · perplexity_ai ·

    Local tasks use PPLX Pro, our post-trained version of Qwen 3.8, and don't consume Computer credits.

    Local tasks use PPLX Pro, our post-trained version of Qwen 3.8, and don't consume Computer credits. For more complex work, Hybrid can split the task between a cloud models and a local model on your Mac, keeping sensitive data private. Read more: https://t.co/hLJ37PFV4b