MXNetThe Apache Software Foundation
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Related Products
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About
Amazon SageMaker Unified Studio is a comprehensive, AI and data development environment designed to streamline workflows and simplify the process of building and deploying machine learning models. Built on Amazon DataZone, it integrates various AWS analytics and AI/ML services, such as Amazon EMR, AWS Glue, and Amazon Bedrock, into a single platform. Users can discover, access, and process data from various sources like Amazon S3 and Redshift, and develop generative AI applications. With tools for model development, governance, MLOps, and AI customization, SageMaker Unified Studio provides an efficient, secure, and collaborative environment for data teams.
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About
A hybrid front-end seamlessly transitions between Gluon eager imperative mode and symbolic mode to provide both flexibility and speed. Scalable distributed training and performance optimization in research and production is enabled by the dual parameter server and Horovod support. Deep integration into Python and support for Scala, Julia, Clojure, Java, C++, R and Perl. A thriving ecosystem of tools and libraries extends MXNet and enables use-cases in computer vision, NLP, time series and more. Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision-making process have stabilized in a manner consistent with other successful ASF projects. Join the MXNet scientific community to contribute, learn, and get answers to your questions.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Amazon SageMaker Unified Studio is ideal for data scientists, machine learning engineers, business analysts, and organizations looking to streamline their AI and analytics workflows, enabling seamless collaboration, faster model development, and efficient deployment of AI applications
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Audience
Developers and researchers requiring an open-source deep learning framework for research prototyping and production
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/sagemaker/unified-studio/
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Company InformationThe Apache Software Foundation
Founded: 1999
United States
mxnet.apache.org
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Integrations
Amazon SageMaker Debugger
AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Amazon Bedrock
Amazon DataZone
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Amazon EMR
Amazon S3 Vectors
Amazon SageMaker Edge
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Integrations
Amazon SageMaker Debugger
AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Amazon Bedrock
Amazon DataZone
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Amazon EMR
Amazon S3 Vectors
Amazon SageMaker Edge
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