从原型到生产:在Microsoft Foundry上部署Fireworks模型

Getting an AI product from prototype to production requires more than choosing a model. This guide...

精选理由

微软和Fireworks出了个实战指南,教你用Azure Foundry跑开源模型,从原型到生产该注意啥都讲清楚了,做AI产品的不妨看看。

AI 摘要

Microsoft Teams Calls for Startups发布了一份指南,介绍初创企业如何在Microsoft Foundry上部署Fireworks模型。指南涵盖成本、延迟、灵活性和未来模型选择等关键因素。通过FireworksAI与Microsoft Foundry的集成,初创企业可在Azure中运行开源模型,并支持监控、缓存、治理和模型实验等功能。该架构旨在帮助初创企业从MVP阶段平滑扩展到生产环境。

图片来源 · Fireworks AI
原文 · Fireworks AI

Getting an AI product from prototype to production requires more than choosing a model. This guide...

Getting an AI product from prototype to production requires more than choosing a model. This guide from @Microsoft Teams Calls for Startups breaks down how startups can deploy Fireworks models on Microsoft Foundry and build an architecture designed to evolve as they grow. Read the full guide: microsoft.com/en-us/startups… Microsoft for Startups @msft4startups The model you choose for an #MVP can shape cost, latency, flexibility, and future model choice. 🧩 With @FireworksAI_HQ on #MicrosoftFoundry y, startups can serve open models in Azure and scale toward production with monitoring, caching, governance, and model experimentation. ➡️ msft.it/6017aE6Ix z #MicrosoftForStartups s #GenerativeAI I #Developers s 🔗 View Quoted Tweet 💬 0 🔄 0 ❤️ 2 👀 126 ⚡