Amazon SageMaker HyperPod removes the undifferentiated heavy lifting involved in building and optimizing machine learning (ML) infrastructure for training foundation models (FMs), reducing training time by up to 40%. In this builders’ session, learn how to pre-train a large language model (LLM) using Slurm on SageMaker HyperPod. Explore the model pre-training workflow from start to finish, including setting up clusters, troubleshooting convergence issues, and running distributed training to improve model performance. You must bring your laptop to participate.
3 sessions
- Builders' sessionAI/MLCross-Industry SolutionsGenerative AI400 – ExpertDeveloper / EngineerIT Professional / Technical ManagerSolution / Systems ArchitectCaesars ForumAmazon SageMakerAmazon SageMaker HyperPodFriday, Dec 069:00 a.m. Friday, Dec 06
, Sr Specialist Solutions Architect, AWS
, Senior Technical Product Manager, Amazon Web Services
, Sr. Solutions Architect, AWS
, Solution Architect, AWS
, Specialist Solutions Architect, Amazon Web Services
- Friday, Dec 69:00 AM - 10:00 AM PSTCaesars Forum | Level 1 | Summit 232 | Content Hub | Builder's 2
- Builders' sessionAI/MLCross-Industry SolutionsGenerative AI400 – ExpertDeveloper / EngineerIT Professional / Technical ManagerSolution / Systems ArchitectCaesars ForumAmazon SageMakerAmazon SageMaker HyperPod2:00 p.m. Wednesday, Dec 04Wednesday, Dec 04Amazon SageMaker HyperPod removes the undifferentiated heavy lifting involved in building and optimizing machine learning (ML) infrastructure for training foundation models (FMs), reducing training time by up to 40%. In this builders’ session, learn how to pre-train a large language model (LLM) using Slurm on SageMaker HyperPod. Explore the model pre-training workflow from start to finish, including setting up clusters, troubleshooting convergence issues, and running distributed training to improve model performance. You must bring your laptop to participate.
, Sr Specialist Solutions Architect, AWS
, Senior Technical Product Manager, Amazon Web Services
, Sr. Solutions Architect, AWS
, Solution Architect, AWS
, Specialist Solutions Architect, Amazon Web Services
- Wednesday, Dec 42:30 PM - 3:30 PM PSTCaesars Forum | Level 1 | Alliance 315
- Builders' sessionAI/MLCross-Industry SolutionsGenerative AI400 – ExpertDeveloper / EngineerIT Professional / Technical ManagerSolution / Systems ArchitectMandalay BayAmazon SageMakerAmazon SageMaker HyperPod2:00 p.m. Monday, Dec 02Monday, Dec 02Amazon SageMaker HyperPod removes the undifferentiated heavy lifting involved in building and optimizing machine learning (ML) infrastructure for training foundation models (FMs), reducing training time by up to 40%. In this builders’ session, learn how to pre-train a large language model (LLM) using Slurm on SageMaker HyperPod. Explore the model pre-training workflow from start to finish, including setting up clusters, troubleshooting convergence issues, and running distributed training to improve model performance. You must bring your laptop to participate.
, Sr Specialist Solutions Architect, AWS
, Senior Technical Product Manager, Amazon Web Services
, Sr. Solutions Architect, AWS
, Solution Architect, AWS
, Specialist Solutions Architect, Amazon Web Services
- Monday, Dec 22:30 PM - 3:30 PM PSTMandalay Bay | Level 2 South | Surf B