Ray A Framework for Scaling and Distributing Python & ML Applications | Anyscale

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  • Опубликовано: 20 окт 2024

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Fast, Flexible, and Scalable Data Loading for ML Training with Ray Data31:20Fast, Flexible, and Scalable Data Loading for ML Training with Ray Data
Fast, Flexible, and Scalable Data Loading for ML Training with Ray DataAnyscale
Просмотров 2,1 тыс.
Scaling AI Workloads with the Ray Ecosystem37:03Scaling AI Workloads with the Ray Ecosystem
Scaling AI Workloads with the Ray EcosystemDatabricks
Просмотров 3,7 тыс.
Ray, a Unified Distributed Framework for the Modern AI Stack | Ion Stoica21:40Ray, a Unified Distributed Framework for the Modern AI Stack | Ion Stoica
Ray, a Unified Distributed Framework for the Modern AI Stack | Ion Stoica@Scale
Просмотров 7 тыс.
Anyscale Workspaces: A Scalable Interactive ML Development Environment with Zero Setup27:42Anyscale Workspaces: A Scalable Interactive ML Development Environment with Zero Setup
Anyscale Workspaces: A Scalable Interactive ML Development Environment with Zero SetupAnyscale
Просмотров 609
Ray: A Framework for Scaling and Distributing Python & ML Applications1:10:43Ray: A Framework for Scaling and Distributing Python & ML Applications
Ray: A Framework for Scaling and Distributing Python & ML ApplicationsDatabricks
Просмотров 30 тыс.
Introduction to Distributed Computing with the Ray Framework15:13Introduction to Distributed Computing with the Ray Framework
Introduction to Distributed Computing with the Ray FrameworkJonathan Dinu
Просмотров 12 тыс.
Introduction to Model Deployment with Ray Serve1:10:41Introduction to Model Deployment with Ray Serve
Introduction to Model Deployment with Ray ServeMLOps World: Machine Learning in Production
Просмотров 2,9 тыс.
Unified Stream/Batch Execution with Ibis33:58Unified Stream/Batch Execution with Ibis
Unified Stream/Batch Execution with IbisData Council
Просмотров 806
Beyond Linear Notebooks: Implementing Reactivity with IPython | Hex22:51Beyond Linear Notebooks: Implementing Reactivity with IPython | Hex
Beyond Linear Notebooks: Implementing Reactivity with IPython | HexData Council
Просмотров 1,5 тыс.
Deploying Many Models Efficiently with Ray Serve25:42Deploying Many Models Efficiently with Ray Serve
Deploying Many Models Efficiently with Ray ServeAnyscale
Просмотров 4,4 тыс.
Large-scale deep learning training and tuning with Ray at Uber33:20Large-scale deep learning training and tuning with Ray at Uber
Large-scale deep learning training and tuning with Ray at UberAnyscale
Просмотров 2,6 тыс.
Data Processing on Ray25:42Data Processing on Ray
Data Processing on RayAnyscale
Просмотров 1,4 тыс.