Dataconomy

DECEMBER 18, 2024

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. Additionally, Amazon is developing its Trainium and Inferentia chips. Featured image credit: Sam Torres/Unsplash

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Azure AI AI System Architecture 103

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 114

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 95

Google Research AI blog

DECEMBER 14, 2022

This feature is powered by Google's new speaker diarization system named Turn-to-Diarize , which was first presented at ICASSP 2022. Architecture of the Turn-to-Diarize system. It also reduces the total number of embeddings to be clustered, thus making the clustering step less expensive.

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Clustering Algorithm Machine Learning Machine Learning 59

IBM Journey to AI blog

FEBRUARY 5, 2024

Students chose a system to model, defined modelling goals, and demonstrated their skills in various activities, including mock pitching MBSE to engineering organizations, defining system architecture and creating advanced model simulations.

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System Architecture Clustering AI AI 79

AWS Machine Learning Blog

MARCH 10, 2025

Solution overview The following figure illustrates our system architecture for CreditAI on AWS, with two key paths: the document ingestion and content extraction workflow, and the Q&A workflow for live user query response. In the following sections, we dive into crucial details within key components in our solution.

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AWS Database AI AI 88

AWS Machine Learning Blog

FEBRUARY 24, 2023

In this post, we describe our design and implementation of the solution, best practices, and the key components of the system architecture. 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 100