Sold by: Neurons Lab
The MLOps Accelerator is a powerful tool built on Amazon SageMaker Pipelines to streamline and scale machine learning workflows. With pre-built templates and CI/CD capabilities, it automates and standardizes MLOps practices across organizations. Access to optimized infrastructure and purpose-built tools boosts team productivity and enables faster training times, while repeatability is ensured through Infrastructure as Code.
Sold by: Neurons Lab
Overview
The MLOps Accelerator offering focuses on using MLOps templates to bootstrap your ML project and establish a CI/CD pattern from sample code for different scenarios. With the solution, you can quickly set up a fully functional ML development environment and start building your ML models without worrying about the infrastructure setup.
The offering includes the following features:
- Sample code: Get started with pre-built templates that provide you with sample code and show you how to build and train models in SageMaker.
- Ready-to-use components: Use ready-to-use components like pre-built algorithms, notebooks, and other resources to build, train, and deploy models in minutes.
- Automation: Automate your ML workflows with SageMaker Pipelines to increase the speed of your ML development and deployment cycle.
- Repeatability: Use Infrastructure as Code to ensure that your ML development environment is consistent across all stages of the ML development lifecycle.
- Scalability: Easily scale your ML development environment to meet the growing demands of your organization.
Highlights
- Built on Amazon SageMaker Pipelines: MLOps Accelerator is built on Amazon SageMaker Pipelines, a native workflow orchestration tool for building ML pipelines that takes advantage of direct Amazon SageMaker integration. This allows for easy building, automating, and scaling of end-to-end machine learning pipelines.
- Choice of templates: MLOps Accelerator offers a number of built-in templates or the ability to create your own custom template, enabling you to easily scale your ability to build, train, test, and deploy hundreds of models in production, iterate faster, reduce errors due to manual orchestration, and build repeatable mechanisms.
- Benefits of using MLOps Accelerator: Some of the key benefits of using MLOps Accelerator include the ability to automate and standardize MLOps practices, reduce training time, access and process large amounts of data, and enable more people to innovate with ML. Additionally, MLOps pipelines allow the ML team to show results from the first sprint and achieve repeatability through Infrastructure as Code.
Details
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
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