AWS Machine Learning Blog

SEPTEMBER 18, 2024

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud.

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Clustering AWS ML ML 124

AWS Machine Learning Blog

DECEMBER 4, 2024

Orchestrate with Tecton-managed EMR clusters – After features are deployed, Tecton automatically creates the scheduling, provisioning, and orchestration needed for pipelines that can run on Amazon EMR compute engines. You can view and create EMR clusters directly through the SageMaker notebook.

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ML ML AWS AI 97

AWS Machine Learning Blog

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. The solution is then able to make predictions on the rest of the training data, and route lower-confidence results for human review.

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ML ML AWS Data Pipeline 104

The MLOps Blog

MARCH 12, 2024

Online Inference with Kubernetes using OpenLLM: To handle real-time interactions, deploy your LLM in a Kubernetes cluster with BentoML’s OpenLLM , using it to manage containerized applications for high availability. Caption : RAG system architecture.

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Database Machine Learning Machine Learning AI 52