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2026-06-03 0 浏览 会员

趋势解读:Perplexity announces hybrid AI system that decides what,解读最新 AI 进展

Perplexity推出混合推理系统,协调本地与云端AI模型,自动分配任务以优化准确性、隐私和能效,7月起集成到Always-on agent产品中。

SOURCE / AI技能杠杆 MIN / 4 ACCESS / 会员 POST / 2026-06-03 21:40:16

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作者:Jonathan Kemper 来源站点:the-decoder.com 原贴时间:

原文

Perplexity has announced an orchestrator that combines AI models running on your own computer with powerful cloud models and automatically decides which task gets processed where. The goal is to optimize accuracy, privacy, and energy efficiency at the same time. The hybrid inference system will be integrated into the Always-on agent product Personal Computer , which was introduced in March, starting in July. Sensitive data like financial documents or health information will stay local, while compute-intensive tasks get routed to cloud models. Perplexity introduced the system together with Intel. But the model-agnostic framework also runs on other hardware, like Nvidia's RTX Spark . "The race for local compute is on," the announcement says. According to Perplexity, shifting routine tasks to local devices could reduce the need for centralized computing infrastructure and simplify questions of data sovereignty. The company says its business model rewards correct answers instead of high compute consumption—which makes optimizing for efficiency a natural incentive. Ad DEC_D_Incontent-1 Ad Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section.

中文翻译

Perplexity宣布了一个编排器,它结合了运行在你个人电脑上的AI模型与强大的云端模型,并自动决定每个任务在哪里处理。目标是同时优化准确性、隐私和能效。该混合推理系统将从7月开始集成到3月推出的Always-on agent产品Personal Computer中。金融文档或健康信息等敏感数据将保留在本地,而计算密集型任务将被路由到云端模型。Perplexity与英特尔共同推出了该系统。但这个模型无关的框架也可以运行在其他硬件上,例如Nvidia的RTX Spark。公告称:“本地计算的竞赛已经开始。”根据Perplexity的说法,将日常任务转移到本地设备可以减少对集中计算基础设施的需求,并简化数据主权问题。该公司表示,其商业模式奖励正确答案而非高计算消耗——这使得优化效率成为一种自然的激励。

核心信息

Perplexity推出混合推理系统,协调本地与云端AI模型,自动分配任务以优化准确性、隐私和能效,7月起集成到Always-on agent产品中。

  • Perplexity推出本地-云端混合推理系统,自动分配任务。
  • 敏感数据本地处理,计算密集型任务上云,优化隐私与成本。
  • 7月起集成到Always-on agent产品,支持Intel和Nvidia硬件。
  • 商业模式激励效率,减少对集中算力的依赖。
  • 端云协同成为AI部署新趋势,降低AI使用门槛。
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