Flipboard

NOVEMBER 1, 2023

Del Complex hopes floating its computer clusters in the middle of the ocean will allow it a level of autonomy unlikely to be found on land. Government …

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Clustering AI AI Computer Science 181

Towards AI

AUGUST 4, 2024

The same could be said about some machine learning algorithms which are not talked about with excitement as they should be, as we are reaching the golden age of Artificial Intelligence and machine learning where some algorithms will be propped up while others may fall by the wayside of irrelevance due to this fact.

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Flipboard

NOVEMBER 6, 2024

Nvidia has shed light on how xAI’s ‘Colossus’ supercomputer cluster can keep a handle on 100,000 Hopper GPUs - and it’s all down to using the …

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AWS Machine Learning Blog

DECEMBER 24, 2024

The process of setting up and configuring a distributed training environment can be complex, requiring expertise in server management, cluster configuration, networking and distributed computing. Scheduler : SLURM is used as the job scheduler for the cluster. You can also customize your distributed training.

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Dataversity

APRIL 16, 2025

Artificial intelligence is changing everything and its impact on high availability (HA) clustering is no exception. The way in which AI and HA are coming together is making clusters more resilient, self-sustaining, and increasingly smarter at handling workloads.

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insideBIGDATA

APRIL 1, 2025

Heres a quick (8:42) review of recent news from the world of HPC-AI, including: AMD MI355X to debut with a 30,000-GPU Oracle cluster, in the face of U.S. Happy April Fools Day to you! trade policy, ASML to open repair hub in China, EuroHPC-JUs CINECA selects 140-qubit Pasqal system, rising star Torsten.

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Flipboard

JANUARY 24, 2025

New details have emerged about Project Stargate, the $500 billion initiative through which OpenAI hopes to build a cluster of artificial intelligence

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Towards AI

FEBRUARY 23, 2024

Learn how to apply state-of-the-art clustering algorithms efficiently and boost your machine-learning skills.Image source: unsplash.com. This is called clustering. In Data Science, clustering is used to group similar instances together, discovering patterns, hidden structures, and fundamental relationships within a dataset.

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AWS Machine Learning Blog

DECEMBER 4, 2024

Solution overview Implementing the solution consists of the following high-level steps: Set up your environment and the permissions to access Amazon HyperPod clusters in SageMaker Studio. You can now use SageMaker Studio to discover the SageMaker HyperPod clusters, and view cluster details and metrics.

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Flipboard

JUNE 4, 2025

SageMaker HyperPod is a purpose-built infrastructure service that automates the management of large-scale AI training clusters so developers can efficiently build and train complex models such as large language models (LLMs) by automatically handling cluster provisioning, monitoring, and fault tolerance across thousands of GPUs.

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Analytics Vidhya

APRIL 11, 2023

These sessions cover a wide range of topics, from the fields of artificial intelligence, and machine learning, and various topics related to data science. Introduction Analytics Vidhya DataHour is designed to provide valuable insights and knowledge to individuals looking to build a career in the data-tech industry.

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Artificial Intelligence Artificial Intelligence Data Science Machine Learning 306

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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Analytics Vidhya

APRIL 1, 2023

AI marketing analytics tools help a marketer plan strategically from the cluster of data […] The post Top 14 Marketing Analytics Tools for Data-Driven Marketers appeared first on Analytics Vidhya. These two actions help acknowledge the actual outcomes of efforts to boost businesses.

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Dataconomy

FEBRUARY 12, 2025

Research conducted by the BBC has found that four major artificial intelligence (AI) chatbotsOpenAI’s ChatGPT, Microsoft’s Copilot, Google’s Gemini, and Perplexity AIare inaccurately summarising news stories. The study involved these chatbots summarizing 100 news stories sourced from the BBC website.

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AI AI Artificial Intelligence Artificial Intelligence 170

Analytics Vidhya

MARCH 25, 2025

Ray has emerged as a powerful framework for distributed computing in AI and ML workloads, enabling researchers and practitioners to scale their applications from laptops to clusters with minimal code changes.

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Machine Learning Machine Learning Clustering ML 173

Analytics Vidhya

JANUARY 11, 2024

Before “data science” glimmered, Khalifeh Al Jadda was wrangling web clusters in 2005. This interview unearths his journey from academia’s trenches to building cutting-edge AI at Google Ads and revolutionizing businesses through AI.

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Clustering Data Science AI AI 306

AWS Machine Learning Blog

DECEMBER 18, 2024

During the training process, our SageMaker HyperPod cluster was connected to this S3 bucket, enabling effortless retrieval of the dataset elements as needed. The integration of Amazon S3 and the SageMaker HyperPod cluster exemplifies the power of the AWS ecosystem, where various services work together seamlessly to support complex workflows.

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AWS Machine Learning Blog

JULY 25, 2024

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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Dataconomy

DECEMBER 18, 2024

The company aims to enhance its artificial intelligence capabilities, particularly within its Azure cloud services. Amazon has announced plans to create a new data processing cluster featuring hundreds of thousands of its latest Trainium chips for Anthropic, showcasing a commitment to AI infrastructure. Microsoft Corp.

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Flipboard

NOVEMBER 18, 2024

Artificial intelligence infrastructure provider Nebius Group NV today announced the launch of its first graphics processing unit clusters in the U.S. …

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Towards AI

SEPTEMBER 3, 2024

We will discuss KNNs, also known as K-Nearest Neighbours and K-Means Clustering. I’m trying out a new thing: I draw illustrations of graphs, etc., myself, so we’ll also look at some nice illustrations that help us understand the concept. They are both ML Algorithms, and we’ll explore them more in detail in a bit.

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Flipboard

NOVEMBER 25, 2024

Most AI activity is clustered around the Seattle metro area, leaving other parts of Washington underrepresented and less developed in AI initiatives, according to WTIA’s new report. Tech synergies and diversity of applications: A significant number of startups integrate AI with emerging technologies such as robotics, IoT/edge, and Web3.

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AWS Machine Learning Blog

APRIL 2, 2025

At its core, Ray offers a unified programming model that allows developers to seamlessly scale their applications from a single machine to a distributed cluster. A Ray cluster consists of a single head node and a number of connected worker nodes. Ray clusters and Kubernetes clusters pair well together.

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Dataconomy

MAY 12, 2025

Collaboration of AI and human insight The combination of Artificial Intelligence and human expertise can significantly elevate the effectiveness of customer segmentation. Functionality This unsupervised learning algorithm groups data points into clusters based on their proximity to centrally defined points, known as centroids.

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Machine Learning Machine Learning Clustering Algorithm 91

Flipboard

FEBRUARY 16, 2025

Several studies have implemented artificial intelligence (AI) to detect CKD. In this study, we collected and analyzed center-based data and used a recursive embedding and clustering technique to reduce their dimensionality. We identified three clusters from 1600 records.

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Clustering Machine Learning Machine Learning Algorithm 73

Dataconomy

FEBRUARY 4, 2025

Boujelbene noted that Ethernet is gaining traction as the primary fabric for large-scale AI clusters, driven by supply and demand dynamics. Notably, even major NVIDIA GPU-based clusters, such as xAI’s Colossus, are adopting Ethernet, prompting an advancement in the projected crossover timeline of Ethernet with InfiniBand by one year.

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AWS Machine Learning Blog

APRIL 10, 2025

As cluster sizes grow, the likelihood of failure increases due to the number of hardware components involved. Larger clusters, more failures, smaller MTBF As cluster size increases, the entropy of the system increases, resulting in a lower MTBF. It implies that if a single instance fails, it stops the entire job.

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Towards AI

MAY 8, 2024

K-means is probably one of the most clustering algorithms out there. In a nutshell, what K-means does to produce its clusters is to find the centers of data, called as centroids, and assign data points to the center where they are closest.

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Flipboard

DECEMBER 27, 2024

DeepSeek trains DeepSeek-V3 model with 671 billion parameters on a cluster of 2048 GPUs.

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Clustering AI AI Computer Science 181

Dataconomy

MAY 25, 2023

The integration of artificial intelligence in Internet of Things introduces new dimensions of efficiency, automation, and intelligence to our daily lives. Simultaneously, artificial intelligence has revolutionized the way machines learn, reason, and make decisions.

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Flipboard

MAY 13, 2025

Generative artificial intelligence (AI) applications are commonly built using a technique called Retrieval Augmented Generation (RAG) that provides foundation models (FMs) access to additional data they didnt have during training.

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Dataconomy

MARCH 3, 2025

Thanks to machine learning (ML) and artificial intelligence (AI), it is possible to predict cellular responses and extract meaningful insights without the need for exhaustive laboratory experiments. Gene set enrichment : Identify clusters of genes that behave similarly under perturbations and describe their common function.

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Dataconomy

JANUARY 3, 2024

From local happenings to global events, understanding the torrent of information becomes manageable when we apply intelligent data strategies to our media consumption. Machine learning: curating your news experience Data isn’t just a cluster of numbers and facts; it’s becoming the sculptor of the media experience.

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Flipboard

JUNE 29, 2023

Designer Tim Fu has used LookX, an artificial intelligence tool trained on architecture, to turn squashed paper into building models that evoke designs by architects Frank Gehry and Zaha Hadid. Top image: an AI-designed building in the style of SANAA. "By The images are courtesy of Tim Fu.

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AWS Machine Learning Blog

MAY 14, 2025

With HyperPod, users can begin the process by connecting to the login/head node of the Slurm cluster. Alternatively, you can also use the AWS CloudFormation template provided in the Own Account workshop and follow the instructions to set up a cluster and a development environment to access and submit jobs to the cluster.

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Hacker News

JUNE 12, 2024

Meta is currently operating many data centers with GPU training clusters across the world. A year ago, however, as the industry reached a critical inflection point due to the rise of artificial intelligence (AI), we recognized that to lead in the generative AI space we’d need to transform our fleet.

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AWS Machine Learning Blog

NOVEMBER 27, 2024

Launching a machine learning (ML) training cluster with Amazon SageMaker training jobs is a seamless process that begins with a straightforward API call, AWS Command Line Interface (AWS CLI) command, or AWS SDK interaction. The training data, securely stored in Amazon Simple Storage Service (Amazon S3), is copied to the cluster.

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