Splash Music transforms music generation using AWS Trainium and Amazon SageMaker HyperPod

Favorite Generative AI is rapidly reshaping the music industry, empowering creators—regardless of skill—to create studio-quality tracks with foundation models (FMs) that personalize compositions in real time. As demand for unique, instantly generated content grows and creators seek smarter, faster tools, Splash Music collaborated with AWS to develop and scale music

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Shared by AWS Machine Learning October 17, 2025

Scala development in Amazon SageMaker Studio with Almond kernel

Favorite Scala stands out as a versatile programming language that combines object-oriented and functional programming approaches. By running on the Java Virtual Machine (JVM), it maintains seamless compatibility with Java libraries while offering a concise and scalable development experience. The language has distinguished itself in the realm of distributed computing

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Shared by AWS Machine Learning October 16, 2025

Configure and verify a distributed training cluster with AWS Deep Learning Containers on Amazon EKS

Favorite Training state-of-the-art large language models (LLMs) demands massive, distributed compute infrastructure. Meta’s Llama 3, for instance, ran on 16,000 NVIDIA H100 GPUs for over 30.84 million GPU hours. Amazon Elastic Kubernetes Service (Amazon EKS) is a managed service that simplifies the deployment, management, and scaling of Kubernetes clusters that

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Shared by AWS Machine Learning October 16, 2025

Building smarter AI agents: AgentCore long-term memory deep dive

Favorite Building AI agents that remember user interactions requires more than just storing raw conversations. While Amazon Bedrock AgentCore short-term memory captures immediate context, the real challenge lies in transforming these interactions into persistent, actionable knowledge that spans across sessions. This is the information that transforms fleeting interactions into meaningful,

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Shared by AWS Machine Learning October 16, 2025