DeepSeek-R1 is available in both Amazon Bedrock and Amazon SageMaker AI.

This leads us to Chinese AI startup DeepSeek. DeepSeek launched DeepSeek-V3 on December 2024 and subsequently released DeepSeek-R1, DeepSeek-R1-Zero with 671 billion parameters, and DeepSeek-R1-Distill models ranging from 1.5–70 billion parameters on January 20, 2025. They added their vision-based Janus-Pro-7B model on January 27, 2025. The models are publicly available and are reportedly 90-95% more affordable and cost-effective than comparable models. Per Deepseek, their model stands out for its reasoning capabilities, achieved through innovative training techniques such as reinforcement learning.

Today, you can now deploy DeepSeek-R1 models in Amazon Bedrock and Amazon SageMaker AI. Amazon Bedrock is best for teams seeking to quickly integrate pre-trained foundation models through APIs. Amazon SageMaker AI is ideal for organizations that want advanced customization, training, and deployment, with access to the underlying infrastructure. Additionally, you can also use AWS Trainium and AWS Inferentia to deploy DeepSeek-R1-Distill models cost-effectively via Amazon Elastic Compute Cloud (Amazon EC2) or Amazon SageMaker AI.

With AWS, you can use DeepSeek-R1 models to build, experiment, and responsibly scale your generative AI ideas by using this powerful, cost-efficient model with minimal infrastructure investment. You can also confidently drive generative AI innovation by building on AWS services that are uniquely designed for security. We highly recommend integrating your deployments of the DeepSeek-R1 models with Amazon Bedrock Guardrails to add a layer of protection for your generative AI applications, which can be used by both Amazon Bedrock and Amazon SageMaker AI customers.

You can choose how to deploy DeepSeek-R1 models on AWS today in a few ways: 1/ Amazon Bedrock Marketplace for the DeepSeek-R1 model, 2/ Amazon SageMaker JumpStart for the DeepSeek-R1 model, 3/ Amazon Bedrock Custom Model Import for the DeepSeek-R1-Distill models, and 4/ Amazon EC2 Trn1 instances for the DeepSeek-R1-Distill models.

As Andy emphasized, a broad and deep range of models provided by Amazon empowers customers to choose the precise capabilities that best serve their unique needs. By closely monitoring both customer needs and technological advancements, AWS regularly expands our curated selection of models to include promising new models alongside established industry favorites. This ongoing expansion of high-performing and differentiated model offerings helps customers stay at the forefront of AI innovation.

DeepSeek-R1 is generally available today in Amazon Bedrock Marketplace and Amazon SageMaker JumpStart in US East (Ohio) and US West (Oregon) AWS Regions. You can also use DeepSeek-R1-Distill models using Amazon Bedrock Custom Model Import and Amazon EC2 instances with AWS Trainum and Inferentia chips.

Give DeepSeek-R1 models a try today in the Amazon Bedrock console, Amazon SageMaker AI console, and Amazon EC2 console, and send feedback to AWS re:Post for Amazon Bedrock and AWS re:Post for SageMaker AI or through your usual AWS Support contacts.

Read More: https://aws.amazon.com/blogs/aws/deepseek-r1-models-now-available-on-aws/