FULL
Event details
Thursday, February 6, 2025
4:30 AM - 10:30 AM GMT
Full - This event is at capacity
Deploying DeepSeek V3 and DeepSeek-R1 on Amazon SageMaker
AI
AWS Startups
Generative AI
Machine Learning
SageMaker
Technical
Thursday, February 6, 2025
4:30 AM - 10:30 AM GMT
IN PERSON
Supreeth S Angadi | GenAI/ML Startups Solution Architect, AWS, Pradipta Dash | Senior Startups Solutions Architect, AWS, Sourabh Jain | Sr. GenAI Startups Account Manager, AWS
English
Full - This event is at capacity
300 - Advanced, 400 - Expert
FULL
Thursday, February 6, 2025
4:30 AM - 10:30 AM GMT
Full - This event is at capacity
Show all
Are you a startup founder or machine learning (ML) engineer looking to effectively deploy and manage AI models while optimizing costs?
Join us for an intensive hands-on workshop exploring Amazon SageMaker Studio's unified ML development environment and learn production-ready strategies for model deployment.
DeepSeek is a cutting-edge family of large language models that has gained significant attention in the AI community for its impressive performance, cost-effectiveness, and open-source nature. DeepSeek offers a range of models including the powerful DeepSeek-V3, the reasoning-focused DeepSeek-R1, and various distilled versions. These models stand out for their innovative architecture, utilizing techniques like Mixture-of-Experts and Multi-Head Latent Attention to achieve high performance with lower computational requirements.
In this hands-on workshop, you'll learn about Amazon SageMaker Studio's comprehensive toolkit to self-host large language models from DeepSeek while maintaining cost efficiency.
Who is this for? This workshop is ideal for:
During this hands-on workshop, you'll learn how to leverage Amazon SageMaker Studio's unified environment to streamline your ML workflows and implement cost-effective model deployment strategies.
Key highlights:
This workshop is specifically designed for startup teams who want to productionze GenAI/ML infrastructure while maintaining cost efficiency. You'll gain hands-on experience with Amazon SageMaker's advanced features and learn practical strategies for managing GenAI/ML workloads.
Prerequisites:
By registering, you agree to the AWS Event Terms & Conditions and AWS Code of Conduct.