Briefs

BriefsWorkflowAvailable now1 min read

AWS updates its edge computer vision AI pipeline for SageMaker SDK v3

AWS published a reference architecture using Amazon SageMaker SDK v3 and SageMaker Neo to train and manage AI computer vision models across edge camera fleets.

AWS updates its edge computer vision AI pipeline for SageMaker SDK v3 — image from AWS
Image: AWS

Summary

AWS updated its reference architecture for fleet-wide computer vision model lifecycles at the edge to use the Amazon SageMaker Python SDK v3 and Amazon SageMaker Neo. The update replaces the deprecated SageMaker Edge Manager. A dual-branch training pipeline trains an anomaly detector and a defect classifier per camera, applies quality gates, and compiles models for edge targets.

What changed

  • Updated the MLOps pipeline pattern for Amazon SageMaker Python SDK v3 and Amazon SageMaker Neo for edge optimization.

Availability

Available now

“The complete sample is available in the aws-samples GitHub repository .”

Founder takeaway

Clone the aws-samples repository to review the CDK application and test the SageMaker SDK v3 reference pipeline.

Source

AWSFleet-wide computer vision lifecycle at the edge with SageMaker SDK v3 | Amazon Web Services

Announced Checked

Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.

SharePost on XLinkedIn

Related

More briefs

All briefs
  1. LangChain open-sources its AI paid media agent — image from LangChain

    WorkflowAvailable now

    LangChain open-sources its AI paid media agent

    LangChain details the architecture and technical lessons behind its open-source paid media agent that manages advertising campaigns.

    LangChain1 min read

  2. Supabase adds Make integration for AI agents and workflows — image from Supabase

    WorkflowAvailable now

    Supabase adds Make integration for AI agents and workflows

    Connect your Supabase account to Make to let automation workflows and AI agents query databases, read logs, and deploy Edge Functions.

    Supabase1 min read

  3. AWS details distributed PyTorch training with Ray Train DLCs and EFA on EKS — image from AWS

    WorkflowAvailable now

    AWS details distributed PyTorch training with Ray Train DLCs and EFA on EKS

    AWS published a guide on running distributed PyTorch training on Amazon EKS using Ray Train Deep Learning Containers and Elastic Fabric Adapter.

    AWS1 min read

One email, every Monday

Briefs are published here through the day. Monday Heist is the email: one useful AI workflow, the files to use it, and the catch. The first issue is being prepared; subscribers get it first. Free, and you can leave in one click.

One email. Every Monday.