PulseAugur
实时 16:46:33
English(EN) End-to-end cloud compute for AI/ML

Google AI推出LAVA优化云算力,Together AI扩展GPU云,Modal简化AI/ML部署

Google DeepMind的研究人员开发了LAVA,一种新的人工智能驱动的调度算法,旨在优化云数据中心的资源分配。LAVA持续重新预测虚拟机(VM)的生命周期,适应实际使用模式,而不是依赖初始估计。这种方法旨在通过更精确地将虚拟机打包到物理服务器上来减少浪费的容量并提高效率。该系统使用一种受生存分析启发的概率分布模型来处理虚拟机生命周期中的固有不确定性。 AI

排序理由 该集群描述了Google DeepMind在研究论文中提出的一种新AI算法(LAVA),侧重于基础设施优化。

在 Practical AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

Google AI推出LAVA优化云算力,Together AI扩展GPU云,Modal简化AI/ML部署

报道来源 [3]

  1. Google AI / Research TIER_1 English(EN) ·

    Solving virtual machine puzzles: How AI is optimizing cloud computing

    Algorithms & Theory

  2. Latent Space Podcast TIER_1 English(EN) · Latent.Space ·

    Cloud Intelligence at the speed of 5000 tok/s - with Ce Zhang and Vipul Ved Prakash of Together AI

    <p><em>Our </em><a href="https://www.latent.space/i/99472423/generative-ai-hackathon-sf-feb" target="_blank">first ever demo day</a><em> aimed for 15-20 people and ended up </em><a href="https://www.latent.space/p/demo-day-2023" target="_blank">ballooning to >200</a> <em>and</em>…

  3. Practical AI TIER_1 English(EN) · Practical AI LLC ·

    End-to-end cloud compute for AI/ML

    <p>We’ve all experienced pain moving from local development, to testing, and then on to production. This cycle can be long and tedious, especially as AI models and datasets are integrated. Modal is trying to make this loop of development as seamless as possible for AI practitione…