Solutions for Hi-Tech Electronics and Semiconductor

Discover curated Solutions that address varied hi-tech electronics and semiconductor use cases

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Transforming hi-tech electronics and semiconductor with AWS

Hi-Tech Electronics and Semiconductor Solutions on AWS accelerate electronic design automation, optimize yield management, and scale new product development and introduction. Unlock the full potential of the cloud and innovate faster. AWS offers the broadest set of services, Solutions, and Guidance coupled with AWS industry Partner Solutions to make it easier to select the right tools for your highest-priority workloads.

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Browse Solutions for hi-tech electronics and semiconductor

Explore AWS Services, ready-to-deploy AWS Solutions, specialized Partner Solutions, and architectural Guidance for your hi-tech electronics and semiconductor use cases.

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  • AWS Service

    Amazon Bedrock

    The easiest way to build and scale generative AI applications with foundation models

  • AWS Service

    AWS Clean Rooms

    Create clean rooms in minutes. Collaborate with your partners without sharing raw data.

  • AWS Service

    Amazon SageMaker AI

    Build, train, and deploy ML models—including FMs—for any use case with fully managed infrastructure, tools, and workflows

  • AWS Service

    Amazon SageMaker (JumpStart)

    Machine learning (ML) hub with foundation models, built-in algorithms, and prebuilt ML solutions that you can deploy with just a few clicks

  • AWS Service

    Amazon Q

    The most capable generative AI-powered assistant for accelerating software development and leveraging companies' internal data

  • AWS Solution

    Cost Optimizer for Amazon WorkSpaces

    Deploy a solution that automatically converts Amazon WorkSpaces to the most cost-effective billing model based on a user's individual usage.

  • Guidance

    Multimodal Video Analytics of Smart Product Subscription Services on AWS

    This Guidance demonstrates how providers offering smart product subscriptions can use large language model (LLM) inferencing to create innovative video analytics services that drive customer value and revenue.

  • Guidance

    Improving High Performance Computing Resiliency on AWS

    This Guidance shows how to improve the resiliency and reduce the costs of long-running high performance computing (HPC) and electronic design automation (EDA) jobs through checkpoint and restore capabilities.

  • Guidance

    Digital Twin Framework on AWS

    This Guidance demonstrates how to leverage AWS services to create digital twins for industrial Internet of Things (IoT), spatial compute, and simulation use cases.

  • Guidance

    Life Cycle Assessment (LCA) of Printed Circuit Boards on AWS

    This Guidance helps electronics companies lower the cost of printed circuit board (PCB) lifecycle assessments (LCAs) using an automated workflow.

  • Guidance

    Scaling Electronic Design Automation (EDA) on AWS

    This Guidance demonstrates how to implement a cloud-bursting solution that seamlessly extends your on-premises semiconductor workflows to the cloud.

  • Guidance

    Improving Workforce Health & Safety on AWS

    This Guidance shows how to use AWS services to address workforce health and safety concerns in high-risk industrial environments.
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