Maximize accelerator utilization for model development with new Amazon SageMaker HyperPod task governance

Enable priority-based resource allocation, fair-share utilization, and automated task preemption for optimal compute utilization across teams.

Meet your training timelines and budgets with new Amazon SageMaker HyperPod flexible training plans

Unlock efficient large model training with SageMaker HyperPod flexible training plans – find optimal compute resources and complete training within timelines and budgets.

Use Amazon Q Developer to build ML models in Amazon SageMaker Canvas

Q Developer empowers non-ML experts to build ML models using natural language, enabling organizations to innovate faster with reduced time to market.

Discover, govern, and collaborate on data and AI securely with Amazon SageMaker Data and AI Governance

Manage data and AI assets through a unified catalog, granular access controls, and a consistent policy enforcement. Establish trust via automation – boost productivity and innovation for data teams.

New Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse

Effortlessly analyze operational data in Amazon SageMaker Lakehouse, freeing developers from building custom pipelines and enabling seamless insights extraction.

Simplify analytics and AI/ML with new Amazon SageMaker Lakehouse

Unifying data silos, Amazon SageMaker Lakehouse seamlessly integrates S3 data lakes and Redshift warehouses, enabling unified analytics and AI/ML on a single data copy through open Apache Iceberg APIs and fine-grained access controls.

Amazon SageMaker Lakehouse and Amazon Redshift supports zero-ETL integrations from applications

Simplify data replication and ingestion from applications such as Salesforce, SAP, ServiceNow, and Zendesk, to Amazon SageMaker Lakehouse and Amazon Redshift.

AWS Weekly Roundup: Jamba 1.5 family, Llama 3.2, Amazon EC2 C8g and M8g instances and more (Sep 30, 2024)

Every week, there’s a new Amazon Web Services (AWS) community event where you can network, learn something new, and immerse yourself in the community. When you’re in a community, everyone grows together, and no one is left behind. Last week was no exception. I can highlight the Dach AWS Community Day where Viktoria Semaan closed […]

Introducing Llama 3.2 models from Meta in Amazon Bedrock: A new generation of multimodal vision and lightweight models

Pushing the boundaries of generative AI, Meta unveils Llama 3.2, a groundbreaking language model family featuring enhanced capabilities, broader applicability, and multimodal image support, now available in Amazon Bedrock.