AWS announces AWS Interconnect – multicloud (preview), providing simple, resilient, high-speed private connections to other cloud service providers. AWS Interconnect - multicloud is easy to configure and provides high-speed, resilient connectivity with dedicated bandwidth, enabling customers to interconnect AWS networking services such as AWS Transit Gateway, AWS Cloud WAN, and Amazon VPC to other cloud service providers with ease.
Articles tagged with Amazon SageMaker
Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows
Content language: English
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24 results
Heechan LeeEXPERT
published 9 days ago1 votes111 views
This guide provides step-by-step instructions for configuring SAML-based Single Sign-On between AWS SageMaker Unified Studio and Microsoft Entra ID, enabling users to access SMUS seamlessly using thei...
Aruna GovindarajuEXPERT
published 3 months ago0 votes116 views
In this article, you will learn how to build multi-lingual search for scenario-3, which enables users to perform model-driven language-agnostic search
AmritaAWSEXPERT
published 3 months ago0 votes169 views
Amazon SageMaker's lakehouse architecture introduces Tag-Based Access Control (TBAC) for federated catalogs, revolutionizing how organizations manage data access across AWS services. Through automated...
Vadim LyakhovichEXPERT
published 4 months ago0 votes146 views
When building machine learning workflows in Amazon SageMaker, having secure and scalable data access is critical. Amazon Keyspaces (for Apache Cassandra) provides a managed, scalable, and highly avail...
Vadim LyakhovichEXPERT
published 4 months ago0 votes129 views
This post shows how to connect your SageMaker environment to Amazon Keyspaces using the AWS Signature Version 4 (SigV4) authentication plugin.
This lets you access data from Keyspaces tables for tra...
AWS OFFICIALUpdated 6 months ago0 votes499 views
This article explores how organizations can implement solutions for robust controls for DeepSeek AI models across their organization. Specifically, this article explains how to have granular control o...
ArjunEXPERT
published 8 months ago0 votes279 views
I want to resolve the error “ResourceLimitExceeded” seen when I try to create resource AWS::SageMaker::NotebookInstance
AWS rePost LiveEXPERT
published 9 months ago0 votes218 views
Join us live on [Twitch.tv](https://bit.ly/4anH9WR) on April 1st, 2025 @ 2pm Pacific / 5pm Eastern to hear our experts dive deep into Next-Gen Amazon SageMaker: Unified Data, Analytics and AI
Burtoft, JimEXPERT
published 10 months ago0 votes337 views
Walk through the options for compiling a model for inference using Inferentia or Trainium. You would need to do this if the model or the configuration you want isn't available in the Hugging Face cac...
Naresh RajaramEXPERT
published a year ago0 votes1.7K views
This article helps AWS customers understand when to use standard Amazon SageMaker training jobs versus Amazon SageMaker HyperPod for their machine learning workloads. As organizations scale their ML o...
Matthew GaskinsEXPERT
published a year ago2 votes340 views
This article discusses the integration of two open-source projects: OversightML (OSML), which is part of AWS Open Source Guidance, and Cesium, a 3D mapping platform. Both OSML and Cesium are designed ...
AWS rePost LiveEXPERT
published a year ago0 votes251 views
Join us live on [Twitch.tv](https://bit.ly/4anH9WR) on Monday, October 28th to hear about all things Amazon Bedrock!