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DeepSeek R1: Open-Source AI Models & AWS Deployment

2 min readFeb 5, 2025

Introduction: The Rise of Open-Source AI Models

The AI landscape is rapidly evolving, and open-source models are at the forefront of innovation. DeepSeek R1 is a powerful open-source AI model series distilled from DeepSeek-R1, offering six optimized versions of popular base models like Qwen2.5 and Llama. These models are designed to be lightweight yet powerful, making AI adoption more efficient across industries.

But how can organizations deploy and scale these models efficiently? AWS provides an ideal ecosystem for training, deploying, and inferencing DeepSeek R1 models, leveraging its specialized AI hardware and services.

DeepSeek-R1 introduces six distilled, fully open-source AI models, making AI more efficient and accessible!

Base vs. Distilled Models

DeepSeek R1 models are distilled from DeepSeek-R1, optimized for performance and efficiency compared to their base counterparts like Qwen2.5 and Llama which maks them:

✔️ More computationally efficient
✔️ Faster for real-time applications
✔️ Optimized for deployment on AWS infrastructure

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Manish Sharma
Manish Sharma

Written by Manish Sharma

I am a technology enthusiast with a passion for continuous learning & innovation. Certified as an AWS Soln Architect Associate & HashiCorp Terraform Associate.

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