AI

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

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 can scale up to the ranges

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Scala development in Amazon SageMaker Studio with Almond kernel

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 and big data processing, with the

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Build a device management agent with Amazon Bedrock AgentCore

The proliferation of Internet of Things (IoT) devices has transformed how we interact with our environments, from homes to industrial settings. However, as the number of connected devices grows, so does the complexity of managing them. Traditional device management interfaces often require navigating through multiple applications, each with its own UI and learning curve. This

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How Amazon Bedrock Custom Model Import streamlined LLM deployment for Salesforce

This post is cowritten by Salesforce’s AI Platform team members Srikanta Prasad, Utkarsh Arora, Raghav Tanaji, Nitin Surya, Gokulakrishnan Gopalakrishnan, and Akhilesh Deepak Gotmare. Salesforce’s Artificial Intelligence (AI) platform team runs customized large language models (LLMs)—fine-tuned versions of Llama, Qwen, and Mistral—for agentic AI applications like Agentforce. Deploying these models creates operational overheads: teams spend

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Checking the quality of materials just got easier with a new AI tool

Manufacturing better batteries, faster electronics, and more effective pharmaceuticals depends on the discovery of new materials and the verification of their quality. Artificial intelligence is helping with the former, with tools that comb through catalogs of materials to quickly tag promising candidates. But once a material is made, verifying its quality still involves scanning it

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Helping scientists run complex data analyses without writing code

As costs for diagnostic and sequencing technologies have plummeted in recent years, researchers have collected an unprecedented amount of data around disease and biology. Unfortunately, scientists hoping to go from data to new cures often require help from someone with experience in software engineering. Now, Watershed Bio is helping scientists and bioinformaticians run experiments and

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