標題：
DeepSeek R1 is now available on Azure AI Foundry and GitHub
DeepSeek R1 現已在 Azure AI Foundry 和 GitHub 上提供。
來源：
微軟 Azure 官方 Blog
Microsoft X(Twitter)
GitHub X(Twitter)
網址：https://bit.ly/40FBcSe
內文：
https://i.imgur.com/Mn5ppb7.png
https://i.imgur.com/y7oQC0I.png
https://i.imgur.com/g3iO78f.png
DeepSeek R1 is now available in the model catalog on Azure AI Foundry and
GitHub, joining a diverse portfolio of over 1,800 models, including frontier,
open-source, industry-specific, and task-based AI models. As part of Azure AI
Foundry, DeepSeek R1 is accessible on a trusted, scalable, and
enterprise-ready platform, enabling businesses to seamlessly integrate
advanced AI while meeting SLAs, security, and responsible AI commitments—all
backed by Microsoft’s reliability and innovation.
## Accelerating AI reasoning for developers on Azure AI Foundry
AI reasoning is becoming more accessible at a rapid pace transforming how
developers and enterprises leverage cutting-edge intelligence. As DeepSeek
mentions, R1 offers a powerful, cost-efficient model that allows more users
to harness state-of-the-art AI capabilities with minimal infrastructure
investment.
One of the key advantages of using DeepSeek R1 or any other model on Azure AI
Foundry is the speed at which developers can experiment, iterate, and
integrate AI into their workflows. With built-in model evaluation tools, they
can quickly compare outputs, benchmark performance, and scale AI-powered
applications. This rapid accessibility—once unimaginable just months ago—is
central to our vision for Azure AI Foundry: bringing the best AI models
together in one place to accelerate innovation and unlock new possibilities
for enterprises worldwide.
## Develop with trustworthy AI
We are committed to enabling customers to build production-ready AI
applications quickly while maintaining the highest levels of safety and
security. DeepSeek R1 has undergone rigorous red teaming and safety
evaluations, including automated assessments of model behavior and extensive
security reviews to mitigate potential risks. With Azure AI Content Safety,
built-in content filtering is available by default, with opt-out options for
flexibility. Additionally, the Safety Evaluation System allows customers to
efficiently test their applications before deployment. These safeguards help
Azure AI Foundry provide a secure, compliant, and responsible environment for
enterprises to confidently deploy AI solutions.
If you don’t have an Azure subscription, you can sign up for an Azure
account here.
Search for DeepSeek R1 in the model catalog.
Open the model card in the model catalog on Azure AI Foundry.
Click on deploy to obtain the inference API and key and also to access the
playground.
You should land on the deployment page that shows you the API and key in less
than a minute. You can try out your prompts in the playground.
You can use the API and key with various clients.
## Get started today
DeepSeek R1 is now available via a serverless endpoint through the model
catalog in Azure AI Foundry. Get started on Azure AI Foundry here and select
the DeepSeek model.
On GitHub, you can explore additional resources and step-by-step guides to
integrate DeepSeek R1 seamlessly into your applications. Read the GitHub
Models blog post.
Coming soon: Customers will be able to use distilled flavors of the DeepSeek
R1 model to run locally on their Copilot+ PCs. Read the Windows Developer
blog post.
即將推出：客戶將能夠使用 DeepSeek R1 模型的精煉版本，在他們的 Copilot+ PC 上本
地運行。閱讀 Windows Developer 部落格文章。
As we continue expanding the model catalog in Azure AI Foundry, we’re
excited to see how developers and enterprises leverage DeepSeek R1 to tackle
real-world challenges and deliver transformative experiences. We are
committed to offering the most comprehensive portfolio of AI models, ensuring
that businesses of all sizes have access to cutting-edge tools to drive
innovation and success.
-
這下真的精彩了
OpenAI 金主爸爸微軟官宣引入 Deepseek R1 模型到他們的 Azure / GitHub 平台
更精彩的官宣是要推動精簡版到 Windows 上面!
某族群:
1.抓到了盜用 一定被告死
2.我要抵制 Azure/GitHub/Windows/微軟
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