机器学习(ML)正在迅速集成到很多生产环境中,包括物理环境和虚拟环境。通过最佳实践、适当的架构、冗余和可扩展的系统管理这些机器学习生产系统是强化生产的必要步骤。通过实施适当的开发运营标准,可以提高可靠性、易操作性和可维护性。通过为机器学习环境添加新功能,可以加速机器学习工作流并提高洞察力。

AWS 服务

专门构建的云产品

AWS 解决方案

组合 AWS 服务、代码和配置的现成解决方案

Showing results: 1
Total results: 1
  • 发布日期
  • MLOps 工作负载编排器

    MLOps 工作负载编排工具解决方案帮助您简化和实施机器学习(ML)模型产品化的架构最佳实践。

1

合作伙伴解决方案

来自 AWS 合作伙伴的软件、软件即服务或托管型服务

Showing results: 1-2
Total results: 2
  • 发布日期
  • Databricks Lakehouse Platform

    Simple, collaborative and open platform: This unified platform simplifies your data architecture by eliminating the data silos that traditionally separate analytics, data science and machine learning. It’s built on open source and open standards to maximize flexibility.
  • Hugging Face Platform

    The Hugging Face Platform enables premium features for your organization on the Hugging Face Hub, including Inference Endpoints, Spaces Hardware Upgrades, and AutoTrain. With Inference Endpoints, you can securely deploy models from the Hugging Face Hub and custom containers on managed autoscaling infrastructure: - Optimized for LLMs: high throughput and low latency, powered by Text Generation Inference. - Deploy models as production-ready APIs with just a few clicks. No MLOps, no infrastructure to manage. - Automatic scale to zero capability for maximum cost efficiency. - Security first: we support direct connections to your private VPC. We have the SOC2 Type 2 certification and offer GDPR and BAA data processing agreements. - Out-of-the-box support for Hugging Face Transformers, Sentence-Transformers, Diffusers, and easy customization. Run inference at scale with any Machine Learning task and library. With Spaces, you can easily create and host any Machine Learning application, GPUs and batteries included: - Build ML apps and host them on Hugging Face. - Showcase projects, create an ML portfolio, and collaborate with others in your organization. - Wide range of frameworks supported: Gradio, Streamlit, HTML + JS, and many more with Docker. - Upgrade to GPU and accelerated hardware in just a few clicks. With AutoTrain, you can train state-of-the-art models with just a few clicks: - No-code tool to train state-of-the-art NLP, CV, Speech, and Tabular models without machine learning expertise. - Train custom models on your datasets without worrying about the technical details of model training. All Hugging Face services use a usage-based, pay-as-you-go pricing. Check out our pricing here: https://huggingface.co/pricing Inference Endpoints: https://huggingface.co/pricing#endpoints Spaces: https://huggingface.co/pricing#spaces AutoTrain: https://huggingface.co/pricing#autotrain
1
回到顶部 

指南

规范性的架构图、示例代码和技术内容

Showing results: 1-6
Total results: 6
  • 发布日期
1
回到顶部