DeepSeek R1 is now available on Azure AI Foundry and GitHub, marking a significant milestone in AI development. This advanced reasoning model offers powerful capabilities with minimal infrastructure investment, making cutting-edge AI more accessible to developers and enterprises.
Key Features of DeepSeek R1
Advanced Reasoning
DeepSeek R1 excels in complex reasoning tasks, making it ideal for applications requiring sophisticated problem-solving abilities.
Scalability
Built on the trusted and scalable Azure AI Foundry, DeepSeek R1 seamlessly integrates into enterprise workflows and cloud-based solutions.
Cost-Efficiency
With minimal infrastructure investment, DeepSeek R1 democratizes access to AI capabilities, making it feasible for startups and large enterprises alike.
Security and Compliance
DeepSeek R1 has undergone rigorous red teaming and safety evaluations, ensuring adherence to responsible AI principles and industry security standards.
Quick Tutorials: Getting Started with DeepSeek R1
1 Deploy DeepSeek R1 on Azure AI Foundry
Step 1: Sign in to Azure AI Foundry and navigate to the Model Catalog.
Step 2: Search for DeepSeek R1 and select the desired model variant.
Step 3: Click Deploy, configure resources (CPU/GPU), and integrate with your application via Azure OpenAI API.
Use the Azure SDK for Python to interact with the model:
import openai
client = openai.AzureOpenAI(
api_key="YOUR_AZURE_API_KEY",
endpoint="YOUR_AZURE_ENDPOINT"
)
response = client.Completions.create(
model="deepseek-r1",
prompt="What is the future of AI?",
max_tokens=100
)
print(response.choices[0].text)
Resources & Further Reading
Azure AI Model Deployment Guide
DeepSeek R1 brings the power of advanced reasoning AI to businesses and developers, enabling more intelligent, efficient, and scalable applications. Ready to explore?
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