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So you want to rent an NVIDIA H100 cluster? 2024 Consumer Guide

Hacker News

Tips and technical analysis on how to pick an H100 cluster (interconnect, reliability and CO2 emissions)

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Uncovering K-means Clustering for Spatial Analysis

Towards AI

Last Updated on August 6, 2024 by Editorial Team Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. What is K Means Clustering K-Means is an unsupervised machine learning approach that divides the unlabeled dataset into various clusters. The cluster centroid in the space is first randomly assigned.

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OCP Summit 2024: The open future of networking hardware for AI

Hacker News

At Open Compute Project Summit (OCP) 2024, we’re sharing details about our next-generation network fabric for our AI training clusters. DSF: Scheduled fabric that is disaggregated and open Network performance and availability play an important role in extracting the best performance out of our AI training clusters.

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Speed up your cluster procurement time with Amazon SageMaker HyperPod training plans

AWS Machine Learning Blog

In this post, we demonstrate how you can address this requirement by using Amazon SageMaker HyperPod training plans , which can bring down your training cluster procurement wait time. We further guide you through using the training plan to submit SageMaker training jobs or create SageMaker HyperPod clusters. Create a new training plan.

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Node problem detection and recovery for AWS Neuron nodes within Amazon EKS clusters

AWS Machine Learning Blog

Solution overview The solution is based on the node problem detector and recovery DaemonSet, a powerful tool designed to automatically detect and report various node-level problems in a Kubernetes cluster. Choose Clusters in the navigation pane, open the trainium-inferentia cluster, choose Node groups, and locate your node group. #

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Accelerate pre-training of Mistral’s Mathstral model with highly resilient clusters on Amazon SageMaker HyperPod

AWS Machine Learning Blog

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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A Mixture Model Approach for Clustering Time Series Data

Towards AI

Last Updated on October 19, 2024 by Editorial Team Author(s): Shenggang Li Originally published on Towards AI. Time Series Clustering Using Auto-Regressive Models, Moving Averages, and Nonlinear Trend Functions Photo by Ricardo Gomez Angel on Unsplash Clustering time series data, like stock prices or gene expression, is often difficult.