Deploying DeepSeek models on AWS requires careful planning and setup. Here are the detailed prerequisites and considerations for deploying DeepSeek models, particularly the DeepSeek-R1 and its distilled variants, on AWS:
1. AWS Account and IAM Roles**
To deploy DeepSeek models on AWS, you need an AWS account with appropriate AWS Identity and Access Management (IAM) roles and permissions. This ensures that you have the necessary access to AWS services such as Amazon Bedrock, SageMaker, and EC2[1][4].2. Hardware Requirements**
DeepSeek-R1 models, especially the full 671 billion parameter version, require significant hardware resources. For optimal performance, you'll need high-performance GPUs, substantial RAM, and sufficient storage. For instance, running DeepSeek-R1 at a moderate speed requires a setup with dual EPYC CPUs and 384GB of RAM[8]. When using AWS, you can leverage EC2 instances with AWS Trainium or Inferentia chips for better performance and cost efficiency[9].3. AWS Services Selection**
AWS offers several services for deploying DeepSeek models, each with different features and cost considerations:- Amazon Bedrock: Ideal for quickly integrating pre-trained models through APIs. It allows you to import custom models using Bedrock Custom Model Import, offering flexibility and control over deployment[1][9].
- Amazon SageMaker: Provides a managed machine learning environment where you can deploy and manage DeepSeek models using services like SageMaker JumpStart or Large Model Inference containers. This is suitable for those who want a balance between ease of use and customization[4][9].
- Amazon EC2: Offers the flexibility to deploy models on specific hardware configurations for optimal price-performance. This is particularly useful when you need precise control over the deployment environment[9].
4. Model Selection**
DeepSeek-R1 models come in various sizes, including distilled versions based on architectures like Metaâs Llama and Hugging Faceâs Qwen. These models range from 1.5 billion to 70 billion parameters, offering different trade-offs between performance and resource requirements. Smaller models like the 8B version are more cost-effective and faster, while larger models like the 70B version offer closer performance to the original 671 billion parameter model[1][4].5. Cost Considerations**
When deploying DeepSeek models on AWS, costs can vary significantly based on the model size, AWS services used, and deployment region. Larger models generally cost more due to higher computational requirements. It's advisable to monitor usage with Amazon CloudWatch and manage expenses using AWS Cost Explorer[9].6. Performance Optimization**
To optimize performance and costs, consider using Amazon SageMaker Neo for model optimization, implement auto-scaling for dynamic resource allocation, and start with lower concurrency quotas before scaling up based on actual usage[9].By carefully evaluating these prerequisites and considerations, you can effectively deploy DeepSeek models on AWS, leveraging the scalability and flexibility of AWS services to meet your specific needs.
Citations:
[1] https://aws.amazon.com/blogs/machine-learning/deploy-deepseek-r1-distilled-llama-models-with-amazon-bedrock-custom-model-import/
[2] https://dev.to/askyt/deepseek-r1-671b-complete-hardware-requirements-optimal-deployment-setup-2e48
[3] https://www.byteplus.com/en/topic/385753
[4] https://aws.amazon.com/blogs/machine-learning/deploy-deepseek-r1-distilled-models-on-amazon-sagemaker-using-a-large-model-inference-container/
[5] https://apxml.com/posts/system-requirements-deepseek-models
[6] https://www.byteplus.com/en/topic/405073
[7] https://www.reddit.com/r/LocalLLM/comments/1i6j3ih/how_to_install_deepseek_what_models_and/
[8] https://huggingface.co/deepseek-ai/DeepSeek-R1/discussions/19
[9] https://repost.aws/questions/QUzC1_jMmESBmpAuOzQh5JcA/guidance-on-aws-deepseek-ai-pricing-and-deployment-options
[10] https://huggingface.co/deepseek-ai/DeepSeek-V3-Base/discussions/56
[11] https://timesofindia.indiatimes.com/technology/tech-tips/how-to-use-deepseek-on-laptop-system-requirements-steps-to-download-the-software-and-more/articleshow/117619851.cms