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在任何云上运行AI工作负载，存储在Hugging Face：SkyPilot的零出口存储Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilot
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以下内容为 AI 自动翻译，英文原文附后供参考。
摘要
Hugging Face与SkyPilot合作，增强了在各种云平台上运行AI工作负载的基础设施。此次合作推出了零出口存储解决方案，允许用户在Hugging Face上存储数据集和模型，同时在任何云服务上执行任务而无需支付额外的出口费用。该集成简化了数据访问和利用的过程，使开发人员和数据科学家在不同环境中管理AI项目更加高效。
Hugging Face has partnered with SkyPilot to enhance the infrastructure for running AI workloads across various cloud platforms. This collaboration introduces a zero-egress storage solution, allowing users to store their datasets and models on Hugging Face while executing jobs on any cloud service without incurring additional egress fees. The integration simplifies the process of accessing and utilizing data, making it more efficient for developers and data scientists to manage their AI projects across different environments.
要点
Hugging Face与SkyPilot的合作实现了跨云的无缝AI工作负载管理。
Hugging Face and SkyPilot's partnership enables seamless AI workload management across clouds.
零出口存储解决方案消除了与数据传输相关的额外成本。
The zero-egress storage solution eliminates additional costs associated with data transfer.
用户现在可以在SkyPilot任务中直接访问Hugging Face的数据集和模型。
Users can now easily access Hugging Face datasets and models directly within SkyPilot jobs.
为何重要
这一发展显著降低了在多个云平台上管理AI工作负载的成本和复杂性，使组织能够更有效地利用云资源。
This development significantly reduces the cost and complexity of managing AI workloads across multiple cloud platforms, making it easier for organizations to leverage cloud resources effectively.
产品经理
产品经理应注意，这一集成可以通过为客户提供一种经济高效且高效的AI工作负载管理方式来增强产品供应，可能会增加用户采用率。
Product managers should note that this integration can enhance product offerings by providing customers with a cost-effective and efficient way to manage AI workloads, potentially increasing user adoption.
开发者
对于开发人员来说，这意味着数据管理的麻烦减少，成本降低，使他们能够更多地专注于构建和优化AI模型，而不是处理云存储的限制。
For developers, this means less hassle with data management and reduced costs, allowing them to focus more on building and optimizing AI models rather than dealing with cloud storage limitations.
学生与求职者
学生和求职者可以从这一进展中受益，因为它为他们提供了使用尖端工具和技术的实践经验，促进了多云环境中的AI开发。
Students and job-seekers can benefit from this advancement as it provides them with practical experience in using cutting-edge tools and technologies that facilitate AI development in a multi-cloud environment.
覆盖来源
来源标题与摘录保留原文，以便核对与追溯。
Hugging Face Blog
Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilotWe’re on a journey to advance and democratize artificial intelligence through open source and open science.