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 124

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 91

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 97

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

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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AWS ML ML Data Pipeline 104

Snorkel AI

MAY 3, 2023

Because frequent patching required a lot of our time and didn’t always deliver the results we hoped for, we decided it was better to rebuild the system from the ground up. How we redesigned our interactive ML system Here, we’ll detail the process we followed to arrive at our high-level system architecture.

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Machine Learning Machine Learning ML ML 52